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    Brazilian MallsBenign Growth Outlook Combined with Defensive Features

    June 18, 2013

    Research Analysts

    Guilherme Rocha55 11 [email protected]

    Nicole Hirakawa55 11 [email protected]

    Vanessa Quiroga52 55 [email protected]

    DISCLOSURE APPENDIX CONTAINS ANALYST CERTIFICATIONS AND THE STATUS OF NON-US ANALYSTS. U.S. Disclosure: Credit Suisse does and seeks to dobusiness with companies covered in its research reports. As a result, investors should be aware that the Firm may have a conflict of interest that could affect the objectivity of thisreport. Investors should consider this report as only a single factor in making their investment decision.

    CREDIT SUISSE SECURITIES RESEARCH & ANALYTICS BEYOND INFORMATIONClient-Driven Solutio ns, Insights, and Access

    In this report we analyze (i) impact of the shift in interest rates and inflation expectations in the malls shares,(ii) malls sales prospects in a scenario of potentially less buoyant overall retail sales, (iii) supply outlook ofnew malls (iv) malls operators development track-record and performance of the most recent inauguratedbatch of assets.

    Malls shares have been under pressure since early 2013 when interest rates expectations startededging up, but investors should focus on real rates. Future changes in nominal rates could impactshares in the ST, but real rates are way more comparable to FFO yields. In other words, if nominal ratesmove up on the back of higher inflation expectations, the impact should be neutral for the shares. Moreover,if inflation expectations deteriorate we could see investors willing to jump back into the sector given mallsinflation hedging characteristics and more compelling FFO yields relative to the benchmark.

    Malls shares offer a combination of defensiveness and inflation protection, which can provehandy if macro uncertainty remains. We like malls earnings foreseeability and inflation-adjusted rentalagreements (combined with underlying real assets), especially in light of recent BRL depreciation.

    Unlike bond yields, malls FFOs tend to increase over time and growth potential continues to beinspiring, in our view. Despite the high correlation between malls shares and LT inflation bonds thiscomparison has its caveats: Bond yields remain flat until maturity, whereas malls FFO yield tend to grow.Malls FFO CAGR was 14-49% from 07-12 and we expect it to be 12-20% during the next five years.

    Fundamentals remain supportive of future growth. Supply of new malls until 2014 should not harmsectors expansion plans and malls sales should continue to outperform overall retail sales, ultimatelyincreasing malls sales representativeness in total retail sales. Lastly, retail sales could pick-up during 2H13.

    Future growth should be geared towards new malls development. We expect listed-players to outruncompetition. Our track-record analysis underscores our positive stance on Multiplan. We see the company

    as the best positioned player to deliver on organic growth.Stock Selection: (i) Upgrading BR Malls to Outperform, (ii) resuming coverage of Multiplan with anOutperform rating and (iii) Downgrading Sonae Sierra and Aliansce to Neutral.

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    June 18, 2013

    Table of Contents

    Coverage Summary 3

    Brazilian Shopping Malls Overview 4Recap of Malls Shares Performance YTD 5Impact of Interest Rates Expectations in Malls Shares 6

    Inflation-hedging Characteristics 7

    Retail Sales Outlook 8Why we prefer to focus on IRRs? 11Why Malls Operators are More Defensive ? 4Stock Selection 4

    Multiplan 13

    BR Malls 14

    Aliansce 15

    Sonae Sierra 16

    Future Growth Should Be Geared Towards Developments 17Solid Outlook Attracted New Entrants, But Listed Players Should OutrunCompetition 18Snapshot of New Developments Coming to the Market 19GLA penetration outlook post 2014 21

    Development Track Record and Performance of Recently Opened Malls 22

    Multiplan 23

    BR Malls 24

    Aliansce 25

    Sonae Sierra 27

    How Much GLA Growth We Have In Our Numbers? 29

    CSe versus Consensus 3012M Fwd P/FFO 3124M Fwd P/FFO 32

    Appendix: Household Consumption to Support Retail Sales 33Corporate Templates 34Disclosures 34

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    Coverage Summary

    Company Name

    Ticker

    Market Cap (R$ mn)

    ADTV 20d (R$ mn)

    Target Price (R$/share)

    Current Price (R$/share)

    Upside (%)

    Rating

    P/FFO 2014

    P/FFO 2015

    EV/Ebitda 2014

    EV/Ebitda 2015

    IRR (real and leveraged)

    Multiplan Aliansce Sonae SierraBR Malls

    MULT3 ALSC3 SSBR3BRML3

    9,393 9,720 3,186 1,978

    130.4 29.1 10.7 1.8

    26.50 67.00 24.50 31.50

    20.63 51.16 20.05 25.88

    28.5% 30.0% 22.0% 22.0%

    16.9x 17.1x 19.1x 13.8x

    14.1x 15.3x 14.5x 11.8x

    12.2x 13.4x 12.7x 10.5x

    10.9x 12.2x 11.0 x 9.0x

    8.0% 7.9% 7.6% 8.8%

    OUTPERFORM OUTPERFORM NEUTRAL NEUTRAL

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    FOTO

    Brazilian Shopping Malls Overview

    We remain optimistic about shopping malls longer-term story. Fundamentalsremain solid regardless of a potentially less vibrant outlook for overall retail in the short-term. Malls sales penetration in total retail sales climbed to 25% from 13% in the lastten years and we expect this trend to continue playing out. Shopping experience inmalls tend to be superior to street stores, especially in light of Brazils weather andsecurity conditions.

    Growth should be m ainly geared towards new developments in the follo wingyears. We expect companies (especially the listed ones) to continue to be aggressiveon organic growth. Our coverage sample targets 16% IRR (real and unleveraged) forGreenfields and 14% IRR for expansions to existing assets (Brownfields), attractivereturn rates, in our view and higher that what we assume in our models.

    M&A should continue to come, but will l ikely not abound as in the past, sincethe more obvious targets seem to have been already taken and competition for assetsgot stiffer. Nonetheless, the industry is still highly fragmented and we still see room forconsolidation; ten largest players account for c.30% of the total market and the top-fiveones for 25%.

    Focusing on the short-term

    Large portion of the recent move in real interest expectations seems already priced in.Since the beginning of 2013, the real rates implied in NTN-B 24 yields (after taxes)increased ~150bps. Meanwhile, mall stocks contracted significantly, bringing spreadsto previous levels, which are fairly above historical average in a scenario of still decentgrowth outlook for mall operators.

    Retail sales should pick up when and if inflation starts easing (2H13 in our view). The

    sharp increase in consumer inflation from 4Q12 to 1Q13 likely helped explain the lowergrowth in the retail in 1Q13. However, inflation is expected to drift lower over thecoming months, especially food inflation, potentially bringing some relief to retail salesalready in 3Q13.

    Malls sales continue to be significantly more resilient than overall retail sales. Mallsaverage SSS figure was decent in 1Q13 at 7.5%, relatively flat qoq, despite themoderation seen in retail sales.

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    Shares Poor Performance YTD Was Mainly Owing to Changes in Real Rates ExpectationsShares have been under pressure since early 2013, when interest rates expectations started shifting more meaningfully. Recent concerns over the economicoutlook did not help at all, but real rates explained most of the ~20% sell off seen in Malls shares. Real rates implied in the NTN-B 24 treasury bond (after taxes) climbed

    ~150bps since January to 4.1% (after taxes) and the decision of the Brazilian Monetary Policy Committee (Copom) to increase the Selic reference rate by 50bp in its last

    meeting at the end of May caused malls shares suffer more.Correlation of mall operators shares with longer-term inflation-linked bonds is definitely high. Correlation of malls shares performance with real interest ratesimplied in NTN-B 24 is significantly higher than with nominal rates (DI). We estimate R to be 0.75 in the former versus 0.18 in the latter. This is mainly because malls lease

    agreements are adjusted by inflation and properties tend to appreciate at least in tandem with inflation over time, making real rates way more comparable. Back in 2012, a

    contraction in real rates was one of the main reasons behind the strong performance of shares, which ended the year up 30% and outperformed the Ibov by 44%.

    Market consensus point to an additional 100bps increase in the basic interest rate until 2014YE. In our view, current expectations are already reflected in stockprices, although we continue to expect a volatile environment in the ST. Nonetheless, future changes in market participants perception about long-term inflation prospects

    and tightening cycle (length and intensity) could continue to impact shares in both directions.

    R = 0.75

    -23.6%-19.8% -19.1% -18.5% -18.0%

    -15.0% -14.8%

    BRML3 SSBR3 .BVSP Malls ALSC3 MULT3 IGTA3

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.*Performance YTD

    Nominal Rates Edged Up 110 bps Since Early May Moving Real Rates Expectations higher In The Same Proportion

    And Causing Malls Shares To Underperform the Broader Index*8.0%

    9.1%

    6.5%

    7.0%

    7.5%

    8.0%

    8.5%

    9.0%

    9.5%

    10.0%

    10.5%

    Jan-12 Apr-12 Aug-12 Nov-12 Mar-13 Jun-13

    2.3%

    2.8%

    3.3%

    3.8%

    4.3%

    4.8%

    4,000

    5,000

    6,000

    7,000

    8,000

    9,00010,000

    Jan-12 Mar-12 Jun-12 Sep-12 Dec-12 Mar-13 May-13

    Malls Perf. Index(LHS)

    NTN-B 24 YTM(RHS)

    Swap PRE-DI 360d

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    Upward Movement In Real rates Seems Already Reflected Into the Shares

    2Y FFO yieldSpread toNTNB 24

    2.4%

    Average

    0.0%

    0.5%

    1.0%

    1.5%

    2.0%

    2.5%

    3.0%

    Jan-10 Sep-10 May-11 Jan-12 Sep-12 May-13

    ALSC

    82BRML

    76

    IGTA

    89

    MULT

    86SSBR

    83

    75

    80

    85

    90

    95

    100

    105

    110

    115

    Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13

    2.6%NTNB-24 After

    Taxes

    4.1%

    5.0%Malls 2Y Fwd

    FFO Yield

    6.6%

    2.5%

    3.0%

    3.5%

    4.0%

    4.5%

    5.0%

    5.5%

    6.0%

    6.5%

    7.0%

    Jan-13 Feb-13 Mar-13 Apr-13 May-13

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    Real Rates Expectations Have Been Oscillating Significantly.

    Malls Price Action Has Been Weak Across The Board YTD

    2Y FWD FFO Yields Expansion Offset Increase In Real Rates

    We believe the change in real interest ra tes expectation s is priced in. Sincethe beginning of 2013 real rates implied in NTN-B 24 yields (after taxes) have

    increased to 4.1% from 2.6% previously (~150bp difference). Meanwhile, malls

    shares have fallen ~20% since January 2013, bringing 2Y FWD FFO yields to6.6% from 5.0% previously (160bp difference). As a result, we see the sector

    yielding 240bp in excess of the real rates implied in NTN-B 24, in line with January

    2013 level (when real rates reached their lowest mark) and only slightly below the

    270bp seen in April 2013. It is worth flagging that the current spread of 240bps in

    our sample is fairly above the historical average, in a scenario of a still-optimistic

    growth outlook for malls operators. In addition, 2Y FWD FFO yields do not capture

    growth expectations beyond 2014, which should be compelling.

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    2.15

    1.90

    2.00

    2.10

    2.20

    Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13

    FX BRL x USD

    Higher Rates Could Be a Headwind In ST, But Inflation-Hedging Could Prove Valuable

    NTNB-24 (RHS)

    4.1%Average

    3.5%

    2.5%

    3.0%

    3.5%

    4.0%

    4.5%

    5.0%

    Jan-12 Mar-12 Jun-12 Sep-12 Dec-12 Mar-13 May-13

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    Real Rates Expectations Have Been Oscillating Significantly .

    .And So Has The Breakeven Inflation, Which ranged from 6.0% to 4.5%

    Malls Inflation Hedging Could Be Increasingly Attractive In a Scenario ofBRL Depreciation

    We reckon that higher nom inal rates could negatively impact malls sharesin the short term. Expectations about the basic interest rates have been volatileand we do not rule out additional increases, at least until inflation starts to curb.

    Our economists expect annual inflation to start declining by July 2013 and staybelow 6% as of September 2013, but this should widely depend on the magnitude

    of BRL depreciation relative to USD.

    However, we believe investors should focus mainly on real rates. In otherwords, if nominal rates move up due to higher inflation expectations, the impact

    should be neutral for the shares in the ST. In addition, if inflation expectations

    deteriorate we could see investors willing to jump back into the sector given both

    its inflation-hedging characteristic and more compelling FFO yields relative to the

    benchmark.

    Projections for both nominal rates and inflation have been bouncing forthe past few months. The uptick in real rates expectations since April causedmalls shares to look somewhat less compelling, but we believe this could change

    quickly. Since 2012 real rates expectations have been oscillating between 4.6%

    and 2.6%, a wide range in our view.

    Malls shares could become more appealing if inflation pressures prove tobe stickier. If short-term inflation takes longer to abate, causing perception overlong-term inflation to move higher than the 5.2% implied in current breakeven

    inflation, we believe malls shares should be perceived as a safer harbor for offering

    a combination of real underlying assets and inflation-adjusted revenues.

    We like malls inflation-hedging characteristics, especially in light of therecent BRL depreciation. We believe malls protection against inflation couldprove handy if a lower BRL brings additional inflation pressure. The Brazilian

    currency has weakened over the past few weeks, depreciating ~5%relative to theUSD since May 26th. Meanwhile, governments willingness to intervene in FX

    remains unclear.

    5.2%

    4.0%

    4.5%

    5.0%

    5.5%

    6.0%

    6.5%

    Mar-12 Jun-12 Sep-12 Nov-12 Feb-13 May-13

    Breakeveninflation

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    Retail Sales

    3.5%

    Textiles,Apparel &Footwear

    4.0%

    -2%

    0%

    2%

    4%

    6%

    8%

    10%

    12%

    Jan-12 Mar-12 May-12 Jul-12 Sep-12 Nov-12 Jan-13 Mar-13

    Will Retail Sales Cope?

    Hering

    Marisa

    Renner

    Restoque

    Arezzo

    Guararapes

    -10%

    -5%

    0%

    5%

    10%

    15%

    20%

    25%

    30%

    35%

    1Q10 2Q10 3Q10 4Q10 1Q11 2Q11 3Q11 4Q11 1Q12 2Q12 3Q12 4Q12 1Q13

    Source: IBGE, Company Data.

    1Q13 Was Not an Entirely Bad Quarter For Listed Retailers, 3 outof 6 Posted Expansion Versus 4Q12

    Jan/Feb Presented a More Market Deceleration, Whereas MarchIndicated Some Recovery, Especially in Apparel and Footwear

    Retail sales are expected to pick up when and if inflation starts easing. According to CS economists, the sharp increase in consumer inflation from 4Q12 to 1Q13helped explain the lower growth in the retail in 1Q13. However, inflation is expected to drift lower over the coming months, mainly the food inflation, potentially bringing

    some relief to retail sales already in 3Q13, especially for stores targeting B and C income consumers, who were likely the most impacted by the inflationary pressures.

    Outlook will likely be less buoyant than in recent years, but growth should remain relatively in line with 2012 figures. According to CS economics team, thestimulus for the labor and credit markets points to continued growth in household consumption in the coming years. Thus, rising income and credit expansion should

    continue to drive retail sales.

    Recovery in retail sales throughout 3Q13 should ease concerns about a potential slowdown in malls sales. In our view, more negative retail sales figures, alongwith higher interest rates, have weighed on malls shares, especially in light of the ongoing growth initiatives undertaken by players, which should result in several new malls

    openings in the next few years. We believe concerns could have been exaggerated, considering recent data points and inflation outlook could start to improve in the coming

    months.

    Some listed retaile rs mana ged to post healthy figures in 1Q13. SSS of certain listed companies improved substantially in 1Q13 (3 of 6), as shown below.

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    We Expect Malls Sales to Exceed Overall Retail In Following YearsMalls sales remained resilient in 1Q13 despite the moderation in retail sales in the quarter. Average SSS figures for malls were relatively flat at 7.5% qoq, whilegrowth in retail sales decelerated to 3.5% in qoq 1Q13 from 8.4% qoq in 4Q12. Even though the deceleration in retail sales was partially attributable to a lower number of

    business days in 1Q13 (60) versus 1Q12 (63), the downward movement was somewhat substantial, indicating that other factors could have contributed.

    We expect this trend (outperformance of m alls sales) to continue to play out. Malls have consistently outperformed overall retail sales and we expect this tocontinue going forward, as fundamentals remain strong, i.e. GLA penetration in Brazil is still relatively low in several regions and shopping experience is substantially better

    at malls than street stores given Brazils weather and security conditions. Correlation between malls sales and retail sales in not negligible: We estimate R to be 0.6.

    However, malls sales have been growing at a CAGR of 17.5% since 2006 compared with 10.7 % for retail sales.

    Malls SSS vs Retail Sales Resilience Amidst the Cool Off In 1Q13

    SSS Malls

    7.5%

    Retail

    3.5%

    Apparel

    4.0%

    -10%

    -5%

    0%

    5%

    10%

    15%

    20%

    2Q08 4Q08 2Q09 4Q09 2Q10 4Q10 2Q11 4Q11 2Q12 4Q12

    10.0%

    16.0%

    11.4%14.6%

    23.0%

    18.7%

    10.6%

    6.8%

    13.6%9.9%

    6.8%

    12.2%

    6.6%

    8.4%

    18% 18% 18%19%

    21%

    23%

    25%

    2006 2007 2008 2009 2010 2011 2012

    Malls Sales Growth (% yoy)

    Retail Sales Growth (% yoy)Malls penetration in Retail

    Malls Sales vs Retail Sales, Malls Have ConsistentlyOutperformed Retail Driving Penetration Higher

    Source: IBGE, Abrasce.

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    Defensiveness Coupled With Still Benign Growth Outlook Could Command a Premium

    Source: Company Data, Credit Suisse Research.

    Overage7.7%

    Temporaryrent and

    Merchandising14.0%

    Otherrevenues**

    78.3%

    BR Malls Aliansce

    Multiplan* Sonae Sierra

    Overage8.4% Temporary

    rent andMerchandising

    5.5%

    Otherrevenues**

    86%

    Overage3.4%

    Temporaryrent and

    Merchandising5.6%

    Otherrevenues**

    91.1%

    *Excluding revenues from real restate sales. **Other revenues = Minimum rent, Parking, key money

    Overage4.1%

    Temporaryrent and

    Merchandising5.8%

    Otherrevenues**

    90.1%

    EBITDA Grew at a 20%-47% CAGR in Last 5 Years and We Expect It ToGrow at 13%-19% CAGR From 12-17

    While FFO Grew at a 14-49%CAGR in 2007-2012 and Should Grow by12% to 20% in the Next 5 years

    20%

    47% 45%

    25%19%

    13% 15% 13%

    EBITDA CAGR 07-12

    EBITDA CAGR 12-17

    14%

    42%

    49%

    23%19% 19% 20%

    12%

    FFO CAGR 07-12

    FFO CAGR 12-17

    Malls operators have high earnings predictability. The long-term feature of lease agreements, averaging five years for satellite and ten years for anchor stores,coupled with substantial penalties for early contract termination, tend to provide stability to malls revenue stream.

    Rental revenues have a fixed nature and little connection with current sales volume. As such, temporary slowdowns in sales growth have a limited impact on mallsoperators top line. In our sample, only 6% of total revenues, on average, come from overage (sales-linked rent) and another 8% from temporary rents and merchandising.The largest portion of revenues comes from minimum rent, parking and key money.

    Unlike bond yields, malls FFO tends to increase over time. We remind investors that despite the high correlation between malls shares and longer-term inflation-linked bonds, this comparison has its caveats: Bond yields remain flat until maturity, whereas malls FFO tends to grow over time owing to real rent increases, organic and

    inorganic growth initiatives, and potential efficiency gains. As a reference, CAGR of malls FFO was 14%49% from 2007-2012.

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    We expect our sample to grow at an EBITDA and FFO CAGR of 15% and 18%, on average, in 2013-2018. Most names do not look a bargain if we consider 2YFWD FFO yields of 6.6%, however this above historical averages. In our view, current valuations continue to be supported by companies interesting growth prospects.

    Yet, in our view, only a couple of companies present a more balanced risk-reward profile in our view, namely BR Malls and Multiplan.

    Capital structure diff erences are equaliz ed and growth perspectives are better reflected in IRRs. Current FFO yields can be distorted by different gearing levelsand do not incorporate growth beyond 2014, which we expect to be material. Our estimate of implied IRRs point to, on average, 390 bps spread to NTN-B compared with

    240 bps for 2Y FWD FFO yield.

    2Y FFO yield look s reasonable, whereas IRRs are significantly m ore compel ling. In some cases, such as BR Malls, the large gap between FFO yields and IRRs ismostly explained by higher leverage pressuring short-term FFO rather than by strong growth prospects, but for most of our sample the gap is explained by the still-positive

    growth outlook, reinforced by companies recent equity issuances (FOs), which should be streamed to growth initiatives.

    Leverage Weights on Short-Term FFO Yields, We Prefer to Focus on IRR

    2Y FWD FFO yield Spread to NTN-B 24 IRR Spread to NTN-B IRR vs FFO yieldsNet Debt / EBITDA

    LTM

    BR Malls 6.4% 220bps 8.0% 389 bps 159 bps 3.6x

    Multiplan 6.2% 195bps 7.9% 371 bps 189 bps 1.8x

    Aliansce 6.0% 185bps 7.6% 345 bps 150 bps 4.7x

    Sonae Sierra 7.8% 350bps 8.8% 467 bps 102 bps 1.8x

    Average 6.6% 243bps 8.0% 393 bps 150 bps 3.0x

    2Y FWD FFO Yields are Above Historical Average at 6%(c.16.5x P/FFO)

    Malls Operators IRR - CSe

    2Y FFO Yields Average 6.6%, Whereas IRRs are Hovering Around 8.0%

    8.8%

    8.0% 7.9%7.6%

    24M Fwd FFO

    Yield

    6.6%Average

    +STD

    -STD

    4%

    5%

    6%

    7%

    8%

    Jan-10 Jul-10 Jan-11 Jul-11 Jan-12 Jul-12 Jan-13

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

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    Malls Shares Spread to NTN-B 24

    1.9%

    Average

    0.0%

    0.5%

    1.0%

    1.5%

    2.0%

    2.5%

    3.0%

    Jan-10 Jun-10 Nov-10 Apr-11 Sep-11 Feb-12 Jul-12 Dec-12 May-13

    1.9%Average

    0.0%

    1.0%

    2.0%

    3.0%

    4.0%

    5.0%

    6.0%

    Jan-10 Jun-10 Nov-10 Apr-11 Sep-11 Feb-12 Jul-12 Dec-12 May-13

    2.2%

    Average

    -0.5%

    0.0%

    0.5%

    1.0%

    1.5%

    2.0%

    2.5%

    3.0%

    Jan-10 Jun-10 Nov-10 Apr-11 Sep-11 Feb-12 Jul-12 Dec-12 May-13

    3.5%

    Average

    0.0%

    0.5%

    1.0%

    1.5%

    2.0%2.5%

    3.0%

    3.5%

    4.0%

    4.5%

    5.0%

    Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-13 Jun-13

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    Aliansce - 2Y Fwd FFO yield Spread to NTN-B 24Multiplan - 2Y Fwd FFO yield Spread to NTN-B 24

    Sonae Sierra - 2Y Fwd FFO yield Spread to NTN-B 24BR Malls - 2Y Fwd FFO yield Spread to NTN-B 24

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    Multiplan

    BR MallsAliansce

    Sonae10.0x

    10.5x

    11.0x

    11.5x

    12.0x

    12.5x

    13.0x

    13.5x

    14.0x

    7% 9% 11% 13% 15%

    EV/EBITD

    A

    14E

    EBITDA CAGR 14-18

    What Are Our Preferred Ideas in the Space?

    But Growth Perspectives Are High, Multiplan Should Postthe Highest Growth in Our Sample

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    Multiplans FFO Yield Spread to NTN-B Is Close to Average

    1.9%

    Average

    0.0%

    0.5%

    1.0%

    1.5%

    2.0%

    2.5%

    3.0%

    Jan-10 Jun-10 Nov-10 Apr-11 Sep-11 Feb-12 Jul-12 Dec-12 May-13

    All else equal, we favor the resilience of Multiplans premium assets in a volati le environment. Multiplan should trade at a premium to peers owing to its strongasset base. In our view, the company has the most homogeneous portfolio (with one of the best tenant mixes), comprised primarily by large assets (10 of 17 with more than

    30K sqm and 8 with more than 45K sqm of GLA), and mixed-use projects (5 in total), which tend to boost malls traffic and thus, sales.

    New greenfields announcement and EBITDA margin gains should be a catalyst for the shares. We believe the company has the ability to generate superior valueto its shareholders through organic growth. The R$ 600 million proceeds raised in the Follow-on offering should start being deployed in expansions and new malldevelopments in the short term, in our view. In addition, Multiplan will likely reap some gains from the recent asset base growth, helping dilute fixed costs and likely driving

    margins higher. The successful ramp-up of recently inaugurated malls, which increased owned GLA by 25% in 4Q12 alone, should add to shares visibility and be an

    additional driver of SSS starting in 4Q13.

    Multiplan is the most defensive play and also the better positioned to deliver on organic growth considering its track-record. We are resuming coverageof Multiplan with an Outperform rating. The company offers the combination of a defensive portfolio with the highest EBITDA CAGR prospects in our sample, of 14% in

    2014-2018, propelled primarily by a 56% owned GLA addition by 2018, resulting in GLA CAGR of 8% in 2013-2018 and some margin expansion, owing to its broader

    asset base. We ascribe relatively more optimistic assumptions to Multiplan based on:1. Companys track-record of developing top-notch assets.

    2. Proven execution capacity (15 malls delivered to date please refer to page 23 for more details on companys execution track record) and land bank of 619,000

    sqm for potential real estate for sale, expansions and commercial towers.

    3. Strong relationship with tenants, enhanced by its strong asset base.

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    What Are Our Preferred Ideas in the Space? (continued)

    Spread NTNB24 2.2%

    Average

    -1%

    0%

    1%

    2%

    3%

    Jan-10 Apr-10 Jul-10 Oct-10 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 Apr-12 Jul-12 Oct-12 Jan-13 Apr-13

    BR MallsSonae Sierra

    Aliansce

    Multiplan

    0.0%

    2.0%

    4.0%

    6.0%

    8.0%

    7.4% 7.6% 7.8% 8.0% 8.2% 8.4% 8.6% 8.8% 9.0%OwnedGLACAGR12-18

    Implied IRR

    IRR Onwed GLA growth 12 to 18 Owned GLA CAGR 12-18

    BR Malls 8.0% 23% 3%

    Sonae Sierra 8.8% 31% 5%

    Aliansce 7.6% 36% 5%

    Multiplan 7.9% 56% 8%

    IRR versus Owned GLA CAGR: BR Malls Stands Out as the Highest IRR with the Most Conservative Growth Premises

    Source: Company Data, Credit Suisse Research. Prices as of June 14th.

    BR Malls 2Y FFO Yield Spread to NTN-B 24 High Relative to Historical Figures

    Upgrading BR Malls to Outperform, the 24% sell-off YTD was overdone, creating an interesting entry-point. We see BR Malls trading at a 2Y FWD FFO yield of 6.4%,representing a 220 bps spread to NTN-B 24, but we remind investors that companys current gearing pressures short-term FFO, causing FFO yields to look lower relative to peers.

    I. IRR looks particularly compelling a t 8% in real terms, representing c. 390 bps spread to long-term infla tion adjusted bonds.II . BR Malls relies less on future growth to deliver our IRR estimate. The company presents the highest implied IRR in our sample. Nonetheless, it depends significantly less ongrowth than peers to achieve those figures, given BR Malls superior profitability and current depressed level of shares.III. Modest growth em bedded into our num bers. We are incorporating limited GLA growth for BR Malls on top of the projects already announced. In aggregate, we expect BR

    Malls to grow its owned GLA at a 3% CAGR in 2012-2018. Thus, acquisitions and new Greenfields announcements would be an upside to our numbers.

    IV. Lower growth relative to peers could open room for hi gher dividends. BR Malls increased its payout ratio for the first time to c. 60% in 2012, we could see this numbergoing up if growth options prove to be scarcer.

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    What Are Our Preferred Ideas in the Space? (continued)

    IRR Versus Owned GLA CAGR

    Source: Company Data, Credit Suisse Research. Prices as of June 14th.

    Downgrading Aliansce to Neutral, on relative valuation grounds. Aliansce 2Y FWD FFO is yielding 190 bps in excess of NTN-B 24, compared with 280 bps for oursample (ex-Aliansce). Even though current gearing is weighting on Aliansce short-term FFO, we argue that implied IRR does not look as compelling relative to peers either,

    despite of the strong growth assumptions embedded in our numbers (5.3% owned GLA CAGR until 2018). In addition, the performance of recent inaugurated malls, with

    additional phases of the two more challenging ones yet to be opened in 2013 and 2014, adds risk to this investment case.Aliansce should continue to deliver strong SSS figures, but this is already incorporated into our numbers. Aliansce has one of the youngest portfolios in ourcoverage universe and this should continue to provide for double-digit SSS in the following quarters. New assets tend to post annual SSS between 10-18% during the first

    five years of operations, driving consolidated figures up. We are reflecting the maturation process of those assets along with strong GLA growth into our numbers .

    1.9%Average

    0%

    1%

    2%

    3%

    4%

    5%

    6%

    Jan-10 Jun-10 Nov-10 Apr-11 Sep-11 Feb-12 Jul-12 Dec-12 May-13

    8.8%

    8.0%7.9%

    7.6%

    IRR Does Not Look As Compelling Relative to Peers

    Aliansce - 2Y Fwd FFO yield Spread to NTN-B 24

    IRR Onwed GLA growth 12 to 18 Owned GLA CAGR 12-18

    BR Malls 8.0% 23% 3%

    Sonae Sierra 8.8% 31% 5%

    Aliansce 7.6% 36% 5%

    Multiplan 7.9% 56% 8%

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    June 18, 2013

    What Are Our Preferred Ideas in the Space? (continued)

    Source: Company Data, Credit Suisse Research. Prices as of June 14th.

    Sonae Sierra: 2Y FFO Yield Spread to NTN-B 24 Peaked Owing to Lower SSS and Concerns Over Most Recent Malls Delivered

    Downgrade Sonae Sierra, discount to peers does not look wide enough to support and Outperform rating. In our view, Sonae Sierra should trade at a discount to peersgiven companys less resilient portfolio comprised by a majority of assets located in less central regions with more exposure to C and D classes. SSS have been lagging for the last

    two quarters, despite companys relatively younger portfolio.

    Performance of recent inaugurated malls does not add to the case. Uberlandia Shopping and Boulevard Londrina, which opening took place in 1Q12 and 2Q13 respectively,are facing significant competition from BR Malls assets, negatively impacting sales ramp up and occupancy rates. Please refer to page 27 for more details on those mallsperformance.

    Future growth i s largely concentrated in one large project. Out of 31% growth in owned GLA incorporated into our numbers, roughly 80% will come from Passeio das Aguasmall with 78 thousand sqm GLA. While the mall is relatively well leased, 72% pre-letting rate in 1Q13, we see with some caution the fact that growth is largely concentrated in one

    single project. The mall is going to account for c.20% of companys owned GLA after its conclusion, scheduled for 4Q13.

    7.5%

    6.1%

    0%

    2%

    4%

    6%

    8%

    10%

    12%

    4Q10 1Q11 2Q11 3Q11 4Q11 1Q12 2Q12 3Q12 4Q12 1Q13

    Average Sonae Sierra

    SSS Have Been Lagging Peers During the Last Two Quarterr

    3.5%

    Average

    0%

    1%

    2%

    3%

    4%

    5%

    Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-13 Jun-13

    33143323

    78

    Current Own GLA Announced GLAIncrease

    Not AnnouncedGLA Increase

    Own GLA 2018E

    31%

    80% of growthcoming from

    Passeio das Aguas

    Sonae Sierra: GLA Growth Breakdown

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    June 18, 2013

    FOTO

    Future Growth Should Be Geared Towards Developments

    Acquisitions continue to be an option, but cap rates will likely be lesscompelling than in the past. Especially as the private players tend to take longer toadjust to real rates compression/expansion. In our view, M&A should continue to come,but will likely not abound as in the past, since the more obvious targets seem to havebeen already taken and competition for assets gets stiffer. Nonetheless, the industry isstill highly fragmented with the ten largest players accounting for c.30%.

    Thus, new developments should be the main source of future growth. Weexpect companies (especially the listed ones) to continue to be aggressive on organicgrowth, which should provide higher returns relative to acquisitions coupled with fairlymore risk. Our coverage sample targets 16% IRR (real and unleveraged) forGreenfields and 14% IRR for expansions of existing assets (Brownfields).

    New malls supply should not harm sectors future grow. Our analysis indicateGLA penetration should remains relatively low even after 2014. In addition, futuresupply targets cities with lower GLA occurrence, 60% of the pipeline located in citieswith less than 100 sqm per 000 inhabitants. Only a few cities could potentially have ahigh GLA incidence versus disposable income per GLA and could present a moredifficult competitive environment.

    Investors should be more willing to pay for future growth in companies withmore proved track-record. Over the next pages, we aim to assess our companiessample track-record and the extent to which recently opened malls have metexpectations.

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    June 18, 2013

    Solid Outlook Attracted New Entrants, But Listed Players Should Outrun Competition

    Competi tion increased as several new players entered the mark et and existing ones stepped up investmen ts betting on sectors positive fundamentals.However, we expect listed players to outperform, as relationship with tenants and know-how are key success factors. Ultimately, this round of investments coming from

    new entrants could result in potential for consolidation in the future, in our view.

    Listed players are well positioned to continue to capture future growth opportunities:

    1. Companies are well capitalized following the last round of Follow-ons and should continue to have better access to other sources of capital relative to private players

    and especially new entrants.

    2. We expect listed players to leverage from their relationship with tenants and strong current asset base to achieve a better tenant-mix in new Greenfields

    3. Professionalized structure should assure more disciplined decisions regarding expansions/new projects relative to private competitors. Thus, we see little likelihood

    of companies putting money to work in value destroying new developments. History shows that even new assets with bottom of range performance could be able to

    deliver IRRs above 10% (according to companies estimates).

    *Savoy we used total GLA instead of owned

    Source: Company Data, Credit Suisse Research.

    Brazilian Malls Market Share in Owned GLA (2012)

    8%6%

    5%2%3%3%2%1%1%

    1%0.3%68%

    BR Malls

    Savoy*

    Multiplan

    Iguatemi

    Aliansce

    Sonae Sierra

    General Shopping

    Brookfield Shoppings

    HSI - Saphyr

    CCP

    Tenco

    Others

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    June 18, 2013

    Snapshot of Malls New Developments Coming to the MarketBrazil had 461 malls in May 13 (equivalent to 11.4 million sqm of GLA) and growth should be substantial until 2014. There are currently 76 malls underdevelopment, amounting to 2.2 million sqm of GLA. Following the conclusion of those projects, the number of malls and total GLA in Brazil would increase by 16% and

    20% until 2014YE.

    We do not rule out the delay/po stponemen t of som e projects, as has it has been the case in previous years. As we have seen in the past couple of years, mallsprojects conclusions have been much lower than initial expectations. In 2012, actual GLA supply was 43% lower than what the market was expecting.

    25% of new supply of GLA will be in cities with currently no mal l and 60% in cities where GLA per capita is below 100 sqm. New projects are concentrated incities with low GLA per 000 inhabitants ratios, indicating malls are being built in regions other than the traditional ones.

    Source: Abrasce, Credit Suisse Research. Prices as of June 14th.

    795

    472

    Expected NewSuppy GLA

    Actual NewSupply GLA

    1,441

    820

    Expected NewSuppy GLA

    Actual NewSupply GLA

    Actual new GLA supply was in reality much lower than the initiallyexpected

    581

    259

    469539

    306

    61

    0 0 - 50 50 - 100 100 - 150 150 - 200 250+

    GLA per 000' inhabitants

    North, 0.2

    Northeast, 0.4

    Mid West, 0.2Southeast,

    1.2

    South, 0.2

    60% of new supply targets cities with less than 100 sqm 000

    inhabitants ratio

    Breakdown by Region (in thousand sqm)

    2011 2012

    -43.1%-40.6%

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    June 18, 2013

    Only a Few Cities will potentially have high GLA per capita vs. disposable income per GLA

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    140

    190

    240

    290

    340

    390

    440

    GLA/'000inhabitants

    5,000 10,000 15,000 20,000 25,000 30,000Disposable Income per sqm of GLA

    Londrina

    So Jose - SCBarueri

    Maringa

    Itu

    Jandira Resende

    Ribeirao Preto

    Vila Velha

    Betim

    Lages

    Campinas

    So Jos do Rio Preto

    Porto AlegreSo Jos dos Campos

    Palmas

    Dourados

    Limeira

    Petrolina

    Cabo Frio

    Florianopolis

    Belo Horizonte

    CuritibaRio deJaneiro

    Taubate

    Vitria

    Praia Grande

    Goinia

    Caruaru

    20,00015,000

    Barretos

    Osasco

    Uberlndia

    Trs Lagoas

    Balneario Camboriu

    Santo AndrBlumenau

    CaraguatatubaJundiai

    So Paulo

    Ponta Grossa

    Valparaisode Goias

    Campo Grande Cuiaba

    PousoAlegre

    Indaiatuba

    Piracicaba

    Fortaleza

    Nova

    Friburgo

    NatalJoo Pessoa

    Salvador

    Cascavl Recife

    NovoHamburgo

    UberabaAracaju

    Aracatuba

    PresidentePrudente

    So Caetano Do Sul

    Votorantim + Sorocaba

    Paragominas

    2014 Figures Cities with GLA incidence above 50 sqm per 000

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    June 18, 2013

    GLA Penetration Remains Reasonable After 2014Brazil has currently 40 cities with more than 150 sqm of GLA per 000 inhabitants and only 20 with above 200 sqm of GLA. In most cases, the higher GLA density isaccompanied by a concentration of disposable income, indicating that cities with a high occurrence of GLA are among the wealthiest ones in terms of disposable income per GLA.

    After 2014, 61 cities will have more than 150 sqm per GLA and 28 more than 200 sqm. Within this universe of cities with GLA occurrence above 150 sqm in 2014, onlyabout nine cities screen as potentially having high GLA occurrence vs. disposable income per GLA. (i.e. Londrina, Barueri, Ribeiro Preto, Vila Velha, Lages, Maringa, Betim andSao Jose SC)

    GLA per thousand inhabitant ratio should continue below o ther countries figures after the 2014. Penetration in Brazil is currently of 59 sqm per 000people and should goup to 69 sqm, assuming the entire pipeline of projects is delivered. GLA occurrence, excluding the cities with total population lower than 50k inhabitants is currently 88 and would

    increase to 101 sqm in 2014.

    Source: ICSC, Credit Suisse Research, IBGE and Abrasce

    360

    220

    180

    110

    8859

    South Africa* France* Germany* Mexico* Brazil - cities> 50k inhab

    Brazil - Total

    360

    220

    180

    110101

    69

    South Africa* France* Germany* Mexico* Brazil - cities> 50k inhab

    Brazil - Total

    GLA Penetration sqm per 000 inhabitants May 2013

    * 2011 figures

    GLA Penetration sqm per 000 inhabitants 2014YE

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    June 18, 2013

    Development Track Record and Performance of Recently Opened MallsWe believe investors should be more willing to pay for future growth in companies with more proved track-record. In this report, we assess listed companies track-

    record and mainly the extent to which recently opened malls are meeting expectations.

    Our conclusion is supportive of our positive stance on Multiplans growth story. Multiplan and Aliansce stand out as having the most solid track recordwhen it comes to new developments, but Multiplan outranked Aliansce when looking at the performance of recently opened malls, maintaining its tradition ofdeveloping superior assets.

    * If we were to consider Via Brasil and Londrina (acquired turn key during construction) the total would 8. ** Includes Boulevard Londrina inaugurated in 2Q13.

    Source: Company Data, Credit Suisse Research.

    Development History Table

    Track record (CS view)

    N of Developed Greenfields 6* 15

    N of Developed Greenfields since IPO 6* 6

    Number Developed Expansions 10 42

    GLA Developed 266,196 641,700

    Owned GLA Developed 168,477 491,400

    % of Total Assets 12% 88%

    % of Owned GLA 18% 94%

    So Bernardo do Campo

    Independencia Shopping

    Sete Lagoas

    Granja Vianna

    Mooca Plaza

    Estao BH

    6**

    2**

    5

    310,000

    225,000

    67%

    83%

    Londrina

    Parque Dom Pedro

    Boa Vista

    Campo Limpo

    Manauara

    Uberlandia

    Shopping Anlia Franco

    DiamondMallNew York City Center

    BHShopping

    RibeiroShopping

    BarraShopping

    MorumbiShopping

    ParkShopping

    ParkShoppingCampoGrande VillageMall

    ParkShoppingBarigi

    BarraShoppingSul

    Shopping Vila Olmpia

    ParkShoppingSoCaetano

    JudiaShopping

    10

    5

    16

    366,740

    256,696

    61%

    64%

    Bangu Shopping

    Santana Parque Shopping

    Caxias Shopping

    Boulevard Braslia

    Boulevard Belm

    Boulevard Belo Horizonte

    Boulevard Campos

    Parque Shopping Belm

    Boulevard Vila Velha

    Boulevard Naes BauruList of Malls

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    June 18, 2013

    Multiplan Recent Projects Are on Their Way to Beat 1st Year NOI Expectations

    OccupancyRate at Opening

    Opening Date GLA IRR estimate

    Projected Actual Projected Actual At Launch Current

    Parque Sao Caetano 96% 4Q11 4Q11 38,900 39,274 24% n.a.Jundiai Shopping 95% 4Q12* 4Q12 34,575 34,501 18% 16.4%

    Park Campo Grande 96% 4Q12 4Q12 40,743 42,355 21% 21.8%

    Village Mall 89% 2Q12 4Q12 25,653 25,235 16% 13.0%

    * project was announced in 2008 and then delayed and re-announced in 2010**revenues from 1Q12 right after the mall opening

    Very good occupancy rates coupled with timely delivery of the projects. Multiplan malls inaugurated on average with a 94% occupancy rate and opening datespresent roughly no deviation from forecasted. Company estimated IRR for recent projects changed more meaningfully only for Village Mall.

    1Q13

    Monthly Salesper sqm

    Rent & ParkingRevenues 1Q13

    Rent & ParkingRev. per m/month

    1 year NOI(R$ mn) Cse

    1 year NOI(Expected vs Cse)

    Net Capex(R$mn)

    1 yearCap rate (Cse)

    Parque Sao Caetano 877 9.9** 84 36.4 4% 223 16.3%

    Jundiai Shopping 686 7.5 73 27.9 37% 293 9.5%

    Park Campo Grande 630 8.5 74 31.4 61% 258 13.5%

    Village Mall 1141 7.3 97 27.1 -27% 456 5.9%

    Source: Company Data, Credit Suisse Research

    As per our estimate, Multiplan seems on track to beat first-year NOI expectations for the malls opened in 2012. We calculated the first-year NOI of Multiplanmalls by annualizing their reported 1Q13 rent and parking revenues. Of note, NOIs for Multiplan assets do not include key money revenues, as is the case for Aliansce and

    BR Malls. The malls Jundiai and Campo Grande seem to be on their way to significantly beat companys initial expectations, whereas Village Mall seems to be falling short

    of projections, but the company is guiding for an increase in occupancy already in 2Q13. Additionally, even though we do not have NOI broken down by mall, Parque So

    Caetano (inaugurated at the end of 2011) seems to have surpassed initial expectations. Sales per sqm for the assets also appear to be solid, averaging R$835 per sqm per

    month in 1Q13, not too far from the R$1,300 average of the entire portfolio in the quarter, especially considering that malls sales tend to grow significantly during the five-

    year maturation process.

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    June 18, 2013

    BR Malls' Assets, Granja Viana, Mooca Plaza, and Estao BH Seem to Be Doing WellWe have more limited information available to evaluate BR Malls Greenfield performance as the company discloses detailed information for its main assets and only a few

    greenfields made the cut and not necessarily in every quarter.

    BR Malls growth strategy has been widely focused on inorganic growth. Since 2007 the company acquired 40 assets and increased its stake in 35 already ownedmalls, adding the equivalent to 653 thousand sqm in owned GLA in the process. To date, BR Malls developed 18% of its current asset portfolio, based on owned GLA.

    First-year cap rates (for the malls we were able to analyze) look strong. Based on reported NOI for Granja Vianna and Mooca Plaza, 1 year cap rates were 20%and 17% respectively. In addition, annualizing the NOI from the first 6-months of operations (4Q12 and 1Q13) for Estao BH by attributing a 51% weight for these

    quarters in full-year numbers, we arrived at a 21% first-year cap rate. However, we were unable to find data on Sete Lagoas, So Bernardo, and Londrina (the last two

    were inaugurated quite recently).

    Occupancy Rateat Opening

    Opening Date GLA

    Projected Actual Projected Actual

    Sete Lagoas 100% 1H11 4Q10 16,162 16,431

    Granja Vianna 97% 1H11 4Q10 29,700 29,892

    Mooca Plaza 100% 1H12 4Q11 38,307 41,964

    Estao BH 97% 2H12 2Q12 35,146 33,982

    So Bernardo 99% 4Q12 4Q12 41,795 42,880

    Londrina Norte 92% 4Q12 4Q12 32,601 32,992

    Opening Date 1 year NOI (R$ mn) Reported Gross Capex 1 year Cap rate

    Granja Vianna 4Q10 26,522 132,300 20%

    Mooca Plaza 4Q11 30,005 174,500 17%

    Estao BH* 2Q12 30,307 143,700 21%

    Source: Company Data, Credit Suisse Research.

    Timely Delivery Coupled with Good Occupancy Rates at Opening, Average of 98%

    First-year Cap Rates (including key money) Seem solid

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    June 18, 2013

    Aliansce Recently Inaugurated Malls Had Some ShortcomingsEven though we recognize managements deep sector knowledge, the 2012 projects batch was not great and ramp-up could take longer than expected.The set of projects delivered in 2012 had lower-than-expected demand for leasing space, leading to suboptimal occupancy at start. Two of the three malls inaugurated in

    2012 faced tougher competition, causing Aliansce to parcel the opening in phases to increase occupancy.

    Total GLA of Boulevard Bauru and Boulevard Vila Velha was reduced by 20% and 29%, respectively. The second phases are expected to be inaugurated in 4Q13and the opening date of the third phase of Vila Velha is not defined yet. We expect the market to closely monitor their performance.

    On the other hand, Parque Shopping Belems opened with a high occupancy rate and companys IRR forecast for the project is unchanged thus far.

    Source: Company Data, Credit Suisse Research.

    Stake Owned GLAOpening

    Occupancy at opening Occupancy in 1Q13Projected Actual

    Boulevard Bauru 75% 19,907 4Q12 4Q12 92% 94%

    Boulevard Vila Velha 50% 15,412 4Q12 4Q12 88% 91%

    Parque Shopping Belm 50% 15,660 2Q12 2Q12 97% 97%

    1Q13

    Total Revenues Rent revenues perm/month

    Total revenues perm/month

    1 year NOI (R$mn) Cse

    1 year NOI(Expected vs Cse)

    Net Capex 1 year Cap rate

    Boulevard Bauru* 2,879 32 48 14.2 -5% 112 7.6%

    Boulevard Vila Velha* 1,155 23 25 8.5 -31% 89 3.4%

    Parque Shopping Belm 2,610 42 56 19.3 43% 92.7 10.4%

    Tougher Competition Caused Aliansce to Parcel Two Assets in Phases To Boost Initial Occupancy Rate

    As per our estimate, only Parque Belm is on track to deliver a solid first-year cap rate. We calculated the first-year NOI of Aliansces malls by annualizing the reported

    1Q13 revenues per mall, attributing a 23% weight in full-year revenues and setting NOI margin at 85% in the first year. As a result, Bauru and, especially, Vila Velha

    numbers look fairly low. The rule of thumb is that first-year cap rate should be 10% 12%. Nonetheless, it is worth noting that this could be partially attributed to allowances

    given to tenants in order to boost pre-letting rate and this number could go higher after they expire.

    Our Estimate Point to Fairly Low First-year Cap Rates for Bauru and Vila Velha

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    June 18, 2013

    But the Batch Prior to 2012 Exceed ExpectationsAliansces expectations for the IRR of 2012 projects are still optimistic. Even after the shortcomings encountered by Vila Velha and Bauru, the company is guiding IRRs of

    14% and 15% (real and unlevered) for the projects, which should also depend on the performance of the phases that are still to be inaugurated. Of note, the opening of

    the third phase of Boulevard Vila Velha depends on an improvement in market dynamics in the region.

    In addition, it is fair to mention that the majority of projects delivered in 2007-2010 have exceed companys expectations (for the ones we have data). The seven projects

    analyzed were delivered on time, and four out of five with more than 3 years from the opening have beat companys initial estimates for third-year cap rate. The same appliesfor the expected IRRs, which were revised upward in most of the cases.

    IRR Announced IRR Revised

    Boulvard Bauru 16% 15% 70 bps

    Boulevard Vila Velha 16% 14% 250 bps

    Parque Shopping Belm 17% 17% 0 bps

    Phase 1 Phase 2 Phase 3 Total

    Boulevard Bauru 26,543 7,375 33,918

    Boulevard Vila Velha 30,824 2,767 9,233 42,824

    Opening dates 4Q12 4Q13 To be defined

    Boulevard Bauru and Vila Velha Phases Opening ScheduleIRR Expectations at the Announcement Versus Current

    Key Metrics of the Seven Projects Delivered Between 2007 and 2010

    Initial StakeOccupancy

    Rate atOpening

    Opening Date GLA IRR estimate Cap Rate 3rd year

    Projected Actual Projected Actual At Launch Current At Launch Current

    Bangu Shopping 70% 99% 4Q07 4Q07 45,262 43,975 16.4% 20.1% 14.1% 15.9%

    Santana Parque Shopping 50% 97% 4Q07 3Q07 25,424 26,526 15.2% 17.8% 13.6% 15.4%

    Caxias Shopping 40% 96% 4Q08 4Q08 25,677 25,601 n.a. 18.9% 10.5% 13.3%

    Boulevard Brasilia 50% 71% 3Q09 3Q09 16,925 16,925 16.8% 14.6% 10.2% 9.3%

    Boulevard Belm 75% 90% 4Q09 4Q09 26,803 34,117 14.2% 23.9% 12.5% 21.1%

    Boulevard Belo Horizonte 70.0% 90.0% 4Q10 4Q10 n.a. 43,064 15.0% n.a. 9.1% n.a.

    Boulevard Campos 50.0% 96.0% 2Q11 2Q11 19,000 19,000 16.0% n.a. 12.9% n.a.

    Source: Company Data, Credit Suisse Research.

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    June 18, 2013

    Sonae Sierra: Challenging Outlook for Recently Opened Malls Sonae Sierra does not provide revenues/NOI per mall nor expected returns for

    its greenfields. Thus, we focus on analyzing more qualitative aspects of the two

    malls opened during 2012-13, namely Uberlandia and Londrina.

    Uberlandia Shopping faced significant competition coming from CenterShopping Uberlandia from BR Malls, which is located in an arguably morecentral region. Competitive environment has being causing sales volume to

    growth below initial expectations, Uberlandias second year of sales is

    significantly below Sonae Sierras Portfolio. Of note, the company expects the

    opening of a Zara store in 2Q13 to spur traffic, positively impacting sales

    onwards.

    StakeOccupancy Rate at

    Opening

    Opening Date GLA

    Projected Actual Projected Actual

    Boulevard Londrina 84.5% 88% 2H12 2Q13 47,800 47,800

    Uberlandia Shopping 100% 93% 2H11 1Q12 43,600 45,300

    Gross Capex (R$ mn) in Capex Sales 1Q13 (R$mn) Sales per sqm per month

    Projected Actual

    Boulevard Londrina 250 320 28% - -

    Uberlandia Shopping 190 201 6% 54.5 396.5

    Sona Sierra Assets Monthly Sales per sqm 1Q13

    Boavista Shopping 1,243

    Shopping Plaza Sul 1,210

    Manauara Shopping 1,156

    Shopping Campo Limpo 998

    Shopping Metrpole 859

    Parque D. Pedro Shopping 804

    Franca Shopping 779

    Uberlndia Shopping 397

    Average per sqm 865

    Source: Company Data, Credit Suisse Research.

    Boulevard Londrina is also competing head-to-head with anot her asset from BR Malls. Boulevard Londrina pre-letting process was impacted by Londrina Norte,inauguration two quarters earlier. Sonae Sierra has granted higher discounts (20-30%) for the first year of leasing in order to attract more tenants. We usually prefer not to

    focus too much on projected vs. actual Capex figures, once it is difficult to determine the reasons behind the construction cost increase (i.e. upgrades to the original projects

    or actual overruns). However, in the case of Boulevard Londrina, the c.30% higher cost relative to initial budget refers to an actual construction cost overrun, which shouldhave negatively impacted returns for this asset.

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    How Much GLA Growth We Have In Our Numbers?We expect our covered companies to grow Owned GLA on average by 36% until 2018, resulting in an average annual CAGR of 5%. Out of the 36% growth, we expect

    65% to come from already announced projects and 35% from Greenfields and Brownfields to be announced in the coming years.

    Source: Company Data, Credit Suisse Research.

    9351,147

    162 50

    Current Own GLA Announced GLAIncrease

    Not Announced GLAIncrease

    Own GLA 2018E

    401547

    105

    41

    Current Own GLA Announced GLAIncrease

    Not AnnouncedGLA Increase

    Own GLA 2018E

    529825

    110 186

    Current Own GLA Announced GLAIncrease

    Not AnnouncedGLA Increase

    Own GLA 2018E

    331433

    101

    Current Own GLA Announced GLAIncrease

    Not AnnouncedGLA Increase

    Own GLA 2018E

    23%

    36%

    31%56%

    17%5%

    26%16%

    21%35%

    31%

    Owned GLA Growth CAGR of 5% until 2018

    Owned GLA Growth CAGR of 8% until 2018 Owned GLA Growth CAGR of 5% until 18

    Owned GLA Growth CAGR of 3% until 2018

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    CSe versus Consensus

    Ebitda 2013e(R$ million)

    Ebitda 2013e(R$ million)

    Ebitda 2013e(R$ million)

    Ebitda 2013e(R$ million)

    Source: Company Data, Credit Suisse Research.

    Ebitda 2014e Ebitda 2014e Ebitda 2014eEbitda 2014e

    CSe Consensus

    CSe Consensus

    839 868

    685720

    CSe Consensus

    1,0251,117

    CSe Consensus

    1,1861,313

    CSe Consensus

    CSe Consensus

    420 432

    331355

    CSe Consensus

    CSe Consensus

    220252

    290

    348

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    12M Fwd P/FFO

    Source: Company Data, Credit Suisse Research.

    22.4x

    10

    15

    20

    25

    30

    35

    Jan-10 Jul-10 Jan-11 Jul-11 Dec-11 Jun-12 Dec-12 Jun-13

    Average

    18.8x

    0

    5

    10

    15

    20

    25

    30

    35

    Jan-08 Nov-08 Oct-09 Sep-10 Aug-11 Jul-12 May-13

    Average

    19.3x

    5

    10

    15

    20

    25

    30

    Jan-08 Nov-08 Oct-09 Sep-10 Aug-11 Jul-12 May-13

    Average

    16.2x

    12

    14

    16

    18

    20

    22

    24

    26

    Feb-11 Jul-11 Jan-12 Jun-12 Dec-12 May-13

    Average

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    24M Fwd P/FFO

    Source: Company Data, Credit Suisse Research.

    16.5x

    8

    10

    12

    14

    16

    18

    2022

    24

    Jan-10 Jul-10 Jan-11 Jul-11 Dec-11 Jun-12 Dec-12 Jun-13

    Average

    15.5x

    0

    5

    10

    15

    20

    25

    Jan-08 Nov-08 Oct-09 Sep-10 Aug-11 Jul-12 May-13

    Average

    16.2x

    5

    10

    15

    20

    25

    Jan-08 Nov-08 Oct-09 Sep-10 Aug-11 Jul-12 May-13

    Average

    12.8x12

    14

    16

    18

    20

    22

    Feb-11 Jul-11 Jan-12 Jun-12 Dec-12 May-13

    Average

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    11

    14

    23

    24

    29

    29

    38

    43

    Mexico

    Russia

    South Korea

    Portugal

    Greece

    Spain

    United Kingdom

    United States

    Assuming real growth inconsumption per capita

    of 3.9% p.a. from 2004 to2011 and no change in

    parity between FX rates.

    3 Using the 2011 level as reference.

    Appendix: Household Consumption to Support Retail SalesContinued expansion in household consumption should support retail sales. Despite its increase in recent years, household consumption is still lowcompared with other developed or even emerging economies. Assuming Brazils average growth in per capita household consumption in the next few years

    remains close to recent average of 3.9%, to reach Mexicos level Brazil would take more than 11 years.

    Source: Bloomberg, Credit Suisse Research. Prices as of June 14th.

    Number of years need for Brazil to reach the current level ofconsumption per capita of other countries

    Household consumption per capita in Brazil1

    (% of household consumption of other countries)

    10

    20

    25

    30

    35

    40

    45

    2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

    15 Peripheral Europe Japan, Australia, and New ZealandSouth Korea2

    Developed countries USA and CanadaCentral Europe

    2 Emerging countries with highest levels of household consumption per capita.

    1 Measured in US dollars, converted by purchasing power parity, at 2005 prices.

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    J ,

    BR Malls Corporate Profile

    Source: Credit Suisse Research

    FINANCIAL METRICS (R$ mn)

    Net revenues

    Gross Profit

    Gross margin

    EBIT

    EBIT margin

    EBITDA

    EBITDA margin

    Adj. EBITDA

    Net financial expenses

    Taxes

    Reported Net income

    Net margin

    # shares ('000)EPS (R$)

    NOPAT (before &A)

    Depreciation

    Amortization

    FCFE

    Dividends

    Total assets

    Cash

    Debt

    PP&E

    Net debt

    Book value

    Invested capital

    Market cap.

    EV

    2011A

    841

    777

    92.5%

    663

    79%

    673

    80%

    673

    (306)

    (79)

    471

    56%

    4391.1

    594

    0

    10

    134

    49

    13,937

    452

    3,672

    12,594

    3,220

    6,624

    10,499

    9,393

    12,613

    2012A

    1,091

    1,027

    94.1%

    862

    79%

    875

    80%

    875

    (434)

    (1,050)

    1,742

    160%

    4533.8

    (175)

    0

    13

    332

    216

    17,527

    784

    5,009

    15,409

    4,224

    8,189

    13,244

    9,393

    13,617

    2013E

    1,279

    1,204

    94.2%

    1,015

    79%

    1,026

    80%

    1,026

    (411)

    (120)

    431

    34%

    4550.9

    906

    0

    10

    (148)

    212

    17,726

    637

    4,858

    15,714

    4,221

    8,433

    13,547

    9,393

    13,614

    2014E

    1,460

    1,375

    94.2%

    1,183

    81%

    1,186

    81%

    1,186

    (424)

    (144)

    565

    39%

    4551.2

    1,042

    0

    3

    239

    256

    18,427

    876

    5,108

    16,098

    4,232

    8,742

    13,920

    9,393

    13,625

    2015E

    1,638

    1,542

    94.1%

    1,346

    82%

    1,346

    82%

    1,346

    (432)

    (174)

    681

    42%

    4551.5

    1,172

    0

    0

    264

    306

    19,269

    1,140

    5,420

    16,581

    4,280

    9,117

    14,401

    9,393

    13,673

    2016E

    1,805

    1,699

    94.1%

    1,483

    82%

    1,483

    82%

    1,483

    (428)

    (201)

    786

    44%

    4551.7

    1,283

    0

    0

    379

    393

    19,994

    1,519

    5,596

    16,836

    4,077

    9,510

    14,660

    9,393

    13,470

    OPERATING METRICS

    GLA(YE)

    GLA (AVERAGE)

    FFO

    FFO margin

    NOI (comparable calc.)

    NOI per sq. meter

    EBITDA per sq. meter

    LEVERAGE

    Net debt / Equity

    Net debt / Ebitda

    Net debt / Total assets

    Capex / Operat.Cash Flow

    Total Assets / Equity

    RETURN / YIELD

    ROIC

    WACC

    Cost of Equity (ke)

    ROE

    FFO Yield

    Dividend Yield

    VALUATION

    EV / Adj. EBITDA

    P/FFO

    P/E

    P/BV

    2011A

    798

    715

    312

    37%

    766

    1,072

    941

    2011A

    49%

    4.8x

    0.2x

    n.a.

    2.1x

    2011A

    6.4%

    -

    9.3%

    4.7%

    3.3%

    1%

    2011A

    18.8x

    30.1x

    19.2x

    2.1x

    2012A

    935

    860

    366

    34%

    1,029

    1,196

    1,017

    2012A

    52%

    4.8x

    0.2x

    0.0x

    2.1x

    2012A

    6.6%

    -

    9.3%

    4.5%

    3.9%

    2%

    2012A

    15.6x

    25.7x

    5.4x

    1.3x

    2013E

    945

    941

    470

    37%

    1,209

    1,284

    1,090

    2013E

    50%

    4.1x

    0.2x

    0.0x

    2.1x

    2013E

    7.6%

    -

    9.3%

    5.6%

    5.0%

    2%

    2013E

    13.3x

    20.7x

    22.6x

    1.1x

    2014E

    1,048

    1,025

    568

    39%

    1,380

    1,347

    1,157

    2014E

    48%

    3.6x

    0.2x

    0.0x

    2.1x

    2014E

    8.5%

    -

    9.3%

    6.5%

    6.1%

    3%

    2014E

    11.5x

    16.9x

    17.0x

    1.1x

    2015E

    1,115

    1,073

    681

    42%

    1,548

    1,443

    1,255

    2015E

    47%

    3.2x

    0.2x

    0.0x

    2.1x

    2015E

    9.3%

    -

    9.3%

    7.5%

    7.2%

    3%

    2015E

    10.2x

    14.1x

    14.1x

    1.0x

    2016E

    1,140

    1,122

    786

    44%

    1,705

    1,519

    1,321

    2016E

    43%

    2.7x

    0.2x

    0.0x

    2.1x

    2016E

    10.1%

    -

    9.3%

    8.3%

    8.4%

    4%

    2016E

    9.1x

    11.7x

    11.7x

    1.0x

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    ,

    Multiplan Corporate ProfileFINANCIAL METRICS (R$ mn)

    Net revenues

    Gross Profit

    Gross margin

    EBIT

    EBIT margin

    EBITDA

    EBITDA margin

    Adj. EBITDA

    Net financial expenses

    Taxes

    Reported Net income

    Net margin

    # shares ('000)

    EPS (R$)

    NOPAT (before &A)

    Depreciation

    Amortization

    FCFE

    Dividends

    Total assets

    Cash

    Debt

    PP&E

    Net debt

    Book value

    Invested capital

    Market cap.

    EV

    2011A

    632

    513

    81.2%

    391

    62%

    451

    71%

    451

    32

    (118)

    298

    47%

    179

    1.7

    334

    60

    0

    (236)

    149

    4,752

    558

    1,002

    3,008

    444

    3,089

    3,745

    9,720

    10,164

    2012A

    759

    609

    80.3%

    454

    60%

    528

    70%

    528

    (42)

    (110)

    305

    40%

    179

    1.7

    418

    75

    0

    (167)

    185

    5,664

    391

    1,885

    3,953

    1,494

    3,206

    4,806

    9,720

    11,214

    2013E

    945

    733

    77.6%

    572

    61%

    681

    72%

    681

    (111)

    (103)

    360

    38%

    187

    1.9

    578

    109

    0

    325

    232

    6,654

    717

    2,081

    4,503

    1,364

    3,960

    5,431

    9,720

    11,085

    2014E

    1,146

    893

    77.9%

    709

    835

    835

    (118)

    (118)

    473

    190

    2.5

    717

    126

    0

    107

    251

    7,299

    824

    2,400

    5,015

    1,577

    4,191

    5,875

    9,720

    11,297

    2015E

    1,284

    995

    77.5%

    792

    62%

    944

    73%

    944

    (155)

    (128)

    510

    40%

    190

    2.7

    816

    152

    0

    80

    255

    8,076

    904

    2,839

    5,741

    1,935

    4,455

    6,497

    9,720

    11,655

    2016E

    1,505

    1,179

    78.3%

    959

    64%

    1,135

    75%

    1,135

    (172)

    (170)

    616

    41%

    190

    3.2

    965

    176

    0

    326

    316

    8,617

    1,230

    3,030

    5,946

    1,800

    4,764

    6,671

    9,720

    11,520

    OPERATING METRICS

    GLA(YE)

    GLA (AVERAGE)

    FFO

    FFO margin

    NOI (comparable calc.)

    NOI per sq. meter

    EBITDA per sq. meter

    LEVERAGE

    Net debt / Equity

    Net debt / Ebitda

    Net debt / Total assets

    Capex / Operat.Cash Flow

    Total Assets / Equity

    RETURN / YIELD

    ROIC

    WACC

    Cost of Equity (ke)

    ROE

    FFO Yield

    Dividend Yield

    VALUATION

    EV / Adj. EBITDA

    P/FFO

    P/E

    P/BV

    2011A

    411

    382

    350

    55%

    550

    1,441

    1,183

    2011A

    14%

    1.0x

    0.1x

    n.a.

    1.5x

    2011A

    12.0%

    -

    9.0%

    11.3%

    3.4%

    1%

    2011A

    22.5x

    27.8x

    32.6x

    3.1x

    2012A

    521

    445

    372

    49%

    645

    1,447

    1,186

    2012A

    47%

    2.8x

    0.3x

    0.0x

    1.8x

    2012A

    11.0%

    -

    9.0%

    11.6%

    3.6%

    2%

    2012A

    21.2x

    26.1x

    31.9x

    3.0x

    2013E

    560

    538

    443

    47%

    798

    1,482

    1,266

    2013E

    34%

    2.0x

    0.2x

    0.0x

    1.7x

    2013E

    12.5%

    -

    9.0%

    11.2%

    4.3%

    2%

    2013E

    16.3x

    21.9x

    27.0x

    2.5x

    2014E

    644

    639

    565

    49%

    975

    1,525

    1,306

    2014E

    38%

    1.9x

    0.2x

    0.0x

    1.7x

    2014E

    14.2%

    -

    9.0%

    13.5%

    5.4%

    2%

    2014E

    13.5x

    17.2x

    20.5x

    2.3x

    2015E

    673

    666

    623

    49%

    1,099

    1,650

    1,417

    2015E

    43%

    2.0x

    0.2x

    0.0x

    1.8x

    2015E

    14.5%

    -

    9.0%

    14.0%

    6.0%

    2%

    2015E

    12.3x

    15.6x

    19.1x

    2.2x

    2016E

    789

    757

    747

    50%

    1,299

    1,717

    1,500

    2016E

    38%

    1.6x

    0.2x

    0.0x

    1.8x

    2016E

    17.0%

    -

    9.0%

    15.7%

    7.2%

    3%

    2016E

    10.2x

    13.0x

    15.8x

    2.0x

    Source: Credit Suisse Research

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    Aliansce Corporate ProfileFINANCIAL METRICS (R$ mn)

    Net revenues

    Gross Profit

    Gross margin

    EBIT

    EBIT margin

    EBITDA

    EBITDA margin

    Adj. EBITDA

    Net financial expenses

    Taxes

    Reported Net income

    Net margin

    # shares ('000)

    EPS (R$)

    NOPAT (before &A)

    Depreciation

    Amortization

    FCFE

    Dividends

    Total assets

    Cash

    Debt

    PP&E

    Net debt

    Book value

    Invested capital

    Market cap.

    EV

    2011A

    258

    209

    81.0%

    162

    63%

    189

    73%

    189

    (37)

    (30)

    92

    36%

    139

    0.7

    159

    26

    1

    (44)

    23

    2,062

    273

    744

    1,435

    471

    1,077

    1,646

    3,186

    3,658

    2012A

    339

    272

    80.1%

    239

    70%

    281

    83%

    281

    (98)

    (40)

    129

    38%

    144

    0.9

    241

    40

    2

    348

    26

    3,616

    520

    1,723

    2,570

    1,202

    1,553

    2,891

    3,186

    4,389

    2013E

    449

    348

    77.5%

    268

    60%

    331

    74%

    331

    (183)

    (28)

    57

    13%

    159

    0.4

    303

    61

    2

    (304)

    19

    4,227

    317

    2,206

    3,318

    1,889

    1,650

    3,660

    3,186

    5,076

    2014E

    552

    431

    78.0%

    345

    62%

    420

    76%

    420

    (220)

    (30)

    92

    17%

    159

    0.6

    390

    73

    2

    50

    23

    4,461

    367

    2,360

    3,501

    1,993

    1,719

    3,836

    3,186

    5,179

    2015E

    620

    487

    78.5%

    396

    64%

    476

    77%

    476

    (204)

    (46)

    140

    23%

    159

    0.9

    430

    78

    2

    177

    23

    4,654

    544

    2,418

    3,519

    1,874

    1,835

    3,839

    3,186

    5,060

    2016E

    691

    549

    79.4%

    448

    65%

    530

    77%

    530

    (184)

    (64)

    194

    28%

    159

    1.2

    466

    80

    2

    188

    70

    4,846

    732

    2,460

    3,509

    1,7273

    1,960

    3,823

    3,186

    4,914

    OPERATING METRICS

    GLA(YE)

    GLA (AVERAGE)

    FFO

    FFO margin

    NOI (comparable calc.)

    NOI per sq. meter

    EBITDA per sq. meter

    LEVERAGE

    Net debt / Equity

    Net debt / Ebitda

    Net debt / Total assets

    Capex / Operat.Cash Flow

    Total Assets / Equity

    RETURN / YIELD

    ROIC

    WACC

    Cost of Equity (ke)

    ROE

    FFO Yield

    Dividend Yield

    VALUATION

    EV / Adj. EBITDA

    P/FFO

    P/E

    P/BV

    2011A

    286

    281

    119

    46%

    229

    813

    671

    2011A

    44%

    2.5x

    0.2x

    n.a.

    1.9x

    2011A

    11.5%

    -

    9.6%

    11.1%

    3.7%

    1%

    2011A

    19.4x

    26.3x

    34.6x

    3.0x

    2012A

    410

    354

    138

    41%

    307

    868

    794

    2012A

    77%

    4.3x

    0.3x

    0.0x

    2.3x

    2012A

    9.7%

    -

    9.9%

    8.9%

    4.3%

    1%

    2012A

    15.6x

    23.1x

    24.7x

    2.1x

    2013E

    472

    426

    120

    27%

    406

    952

    777

    2013E

    115%

    5.7x

    0.4x

    0.0x

    2.6x

    2013E

    9.0%

    -

    9.9%

    7.3%

    3.8%

    1%

    2013E

    15.3x

    26.6x

    55.8x

    1.9x

    2014E

    505

    485

    167

    30%

    501

    1,032

    865

    2014E

    116%

    4.7x

    0.4x

    0.0x

    2.6x

    2014E

    10.9%

    -

    9.9%

    9.7%

    5.2%

    1%

    2014E

    12.3x

    19.1x

    34.8x

    1.9x

    2015E

    522

    513

    220

    35%

    561

    1,093

    926

    2015E

    102%

    3.9x

    0.4x

    0.0x

    2.5x

    2015E

    12.4%

    -

    9.9%

    12.0%

    6.9%

    1%

    2015E

    10.6x

    14.5x

    22.8x

    1.7x

    2016E

    540

    540

    276

    40%

    627

    1,161

    982

    2016E

    88%

    3.3x

    0.4x

    0.0x

    2.5x

    2016E

    13.9%

    -

    9.9%

    14.1%

    8.7%

    2%

    2016E

    9.3x

    11.5x

    16.4x

    1.6x

    Source: Credit Suisse Research

    June 18, 2013

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    36

    Sonae Sierra - Corporate ProfileFINANCIAL METRICS (R$ mn)

    Net revenues

    Gross Profit

    Gross margin

    EBIT

    EBIT margin

    EBITDA

    EBITDA margin

    Adj. EBITDA

    Net financial expenses

    Taxes

    Reported Net income

    Net margin

    # shares ('000)

    EPS (R$)

    NOPAT (before &A)

    Depreciation

    Amortization

    FCFE

    Dividends

    Total assets

    Cash

    Debt

    PP&E

    Net debt

    Book value

    Invested capital

    Market cap.

    EV

    2012A

    257

    214

    83.2%

    197

    77%

    199

    77%

    199

    (14)

    (93)

    186

    72%

    76

    2.4

    106

    0

    2

    291

    27

    4,070

    682

    831

    3,252

    149

    2,092

    2,853

    1,978

    2,127

    2011A

    219

    182

    83.2%

    174

    79%

    175

    80%

    175

    23

    (12)

    231

    105%

    76

    3.0

    163

    0

    1

    329

    24

    3,266

    391

    400

    2,782

    9

    1,943

    2,454

    1,978

    1,987

    2013E

    286

    238

    83.2%

    217

    76%

    220

    77%

    220

    (34)

    (34)

    102

    36%

    76

    1.3

    186

    0

    3

    (136)

    42

    4,238

    546

    984

    3,549

    439

    2,152

    3,203

    1,978

    2,417

    2014E

    383

    318

    82.9%

    289

    75%

    290

    76%

    290

    (46)

    (39)

    143

    37%

    76

    1.9

    252

    0

    2

    (26)

    109

    4,375

    519

    1,054

    3,689

    535

    2,186

    3,333

    1,978

    2,513

    2015E

    440

    364

    82.6%

    332

    75%

    332

    75%

    332

    (47)

    (46)

    168

    38%

    76

    2.2

    286

    0

    0

    44

    133

    4,434

    564

    1,054

    3,689

    491

    2,221

    3,324

    1,978

    2,469

    2016E

    472

    389

    82.5%

    355

    75%

    355

    75%

    355

    (47)

    (49)

    182

    39%

    76

    2.4

    306

    0

    0

    49

    147

    4,492

    613

    1,054

    3,689

    441

    2,256

    3,309

    1,978

    2,419

    GLA(YE)

    GLA (AVERAGE)

    FFO

    FFO margin

    NOI (comparable calc.)

    NOI per sq. meter

    EBITDA per sq. meter

    Net debt / Equity

    Net debt / Ebitda

    Net debt / Total assets

    Capex / Operat.Cash Flow

    Total Assets / Equity

    ROIC

    WACC

    Cost of Equity (ke)

    ROE

    FFO Yield

    Dividend Yield

    EV / Adj. EBITDA

    P/FFO

    P/E

    P/BV

    OPERATING METRICS

    LEVERAGE

    RETURN / YIELD

    VALUATION

    270

    265

    129

    59%

    184

    695

    662

    0%

    0.1x

    0.0x

    n.a.

    1.7x

    7.1%

    -

    11.1%

    6.6%

    6.5%

    1%

    11.4x

    15.4x

    8.6x

    1.5x

    2011A

    2011A

    2011A

    2011A

    291

    308

    110

    43%

    220

    714

    646

    7%

    0.7x

    0.0x

    0.0x

    1.9x

    7.0%

    -

    11.1%

    5.2%

    5.6%

    1%

    13.5x

    18.0x

    10.7x

    1.0x

    2012A

    2012A

    2012A

    2012A

    331

    321

    105

    37%

    250

    778

    684

    20%

    2.0x

    0.1x

    0.0x

    2.0x

    6.9%

    -

    11.1%

    4.9%

    5.3%

    2%

    13.4x

    19.1x

    19.6x

    0.9x

    2013E

    2013E

    2013E

    2013E

    433

    415

    145

    38%

    334

    804

    699

    24%

    1.8x

    0.1x

    0.0x

    2.0x

    8.7%

    -

    11.1%

    6.6%

    7.3%

    5%

    10.5x

    13.8x

    13.9x

    0.9x

    2014E

    2014E

    2014E

    2014E

    433

    433

    168

    38%

    382

    883

    767

    22%

    1.5x

    0.1x

    0.0x

    2.0x

    10.0%

    -

    11.1%

    7.6%

    8.5%

    7%

    9.0x

    11.8x

    11.8x

    0.9x

    2015E

    2015E

    2015E

    2015E

    433

    433

    182

    39%

    409

    945

    821

    20%

    1.2x

    0.1x

    0.0x

    2.0x

    10.7%

    -

    11.1%

    8.1%

    9.2%

    7%

    8.3x

    10.9x

    10.9x

    0.9x

    2016E

    2016E

    2016E

    2016E

    Source: Credit Suisse Research

    June 18, 20133-Year Price and Rating History for Sonae Sierra Brasil (SSBR3.SA)

    DISCLOSURE APPENDIX CONTAINS ANALYST CERTIFICATIONS AND THE STATUS OF NON US ANALYSTS. US Disclosu re: Credit Suisse does a nd see ks to do busin ess wi th co mpa nies covered in iresearch reports. As a result, investors should be aware th at the Firm m ay have a confl ict of interest that could affect the objectivity of this report. Investors should consider this report as only a singfactor in making their investmen t decision.

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    SSBR3.SA Closing Price Target Price

    Date (R$) (R$) Rating

    15-Mar-11 22.90 32.00 O *

    05-Sep-11 24.90 31.50

    06-Sep-11 25.99 *

    01-Dec-11 23.50 31.00 O

    22-Mar-12 29.18 34.00 N

    13-Dec-12 29.10 39.00 O

    * Asterisk signifies initiation or assumption of coverage.

    OUTPERFORM

    NEUTRAL

    The analyst(s) responsible for preparing this research report received Compensation that is based upon various factors including Credit Suisse's totalrevenues, a portion of which are generated by Credit Suisse's investment banking activities

    As of December 10, 2012 Analysts stock rating are defined as follows:

    Outperform (O) : The stocks total return is expected to outperform the relevant benchmark*over the next 12 months.

    Neutral (N) : The stocks total return is expected to be in line with the relevant benchmark* over the next 12 months.

    Underperform (U) : The stocks total return is expected to underperform the relevant benchmark* over the next 12 months.

    *Relevant benchmark by region: As of 10th December 2012, Japanese ratings are based on a stocks total return relative to the analyst's coverage universe whichconsists of all companies covered by the analyst within the relevant sector, with Outperforms representing the most attractive, N eutrals the less attractive, andUnderperforms the least attractive investment opportunities. As of 2nd October 2012, U.S. and Canadian as well as European ratings are based on a stocks total returnrelative to the analyst's coverage universe which consists of a ll companies covered by the analyst within the relevant sector, with Outperforms representing the mostattractive, Neutrals the less attractive, and Underperforms the least attractive investment opportunities. For Latin American and non-Japan Asia stocks, ratings arebased on a stocks total return relative to the average total return of the relevant country or regional benchmark; Australia, New Zealand are, and prior to 2nd October2012 U.S. and Canadian ratings were based on (1) a stocks absolute total return potential to its current share price and (2) the relative attractiveness of a stocks totalreturn potential within an analysts coverage universe. For Australian and New Zealand stocks, 12-month rolling yield is incorporated in the absolute total returncalculation and a 15% and a 7.5% threshold replace the 10-15% level in the Outperform and Underperform stock rating definitions, respectively. The 15% and 7.5%thresholds replace the +10-15% and -10-15% levels in the Neutral stock rating definition, respectively. Prior to 10th December 2012, Japanese ratings were based on astocks total return relative to the average total return of the relevant country or r egional benchmark.

    Restricted (R) : In certain circumstances, Credit Suisse policy and/or applicable law and regulations preclude certain t ypes of communications,including an investment recommendation, during the course of Credit Suisse's engagement in an investment banking transaction and in certain othercircumstances.

    Volatility Indicator [V] : A stock is defined as volatile if the stock price has moved up or down by 20% or more in a month in at least 8 of the past 24months or the analyst expects significant volatility going forward.

    Analysts sector weightings are distinct from analysts stock ratings and are based on the analysts expectations for the fundamentals and/or valuation ohe sector* relative to the groups historic fundamentals and/or valuation:

    Overweight : The analysts expectation for the sectors fundamentals and/or valuation is favorable over the next 12 months.

    Market Weight : The analysts expectation for the sectors fundamentals and/or valuation is neutral over the next 12 months.

    Underweight : The analysts expectation for the sectors fundamentals and/or valuation is cautious over the next 12 months.

    *An analysts coverage sector consists of all companies covered by the analyst within the relevant sector. An analyst may cover multiple sectors.

    Credit Suisse's distribution of stock ratings (and banking clients) is:

    Global Ratings Distribution

    Rating Versus universe (%) Of which banking clients (%)

    Outperform/Buy* 42% (54% banking clients)Neutral/Hold* 40% (48% banking clients)Underperform/Sell* 15% (39% banking clients)Restricted 3%

    *For purposes of the NYSE and NASD ratings distribution disclosure requirements, our stock ratings of Outperform, Neutral, and Underperform most closely correspondto Buy, Hold, and Sell, respectively; however, the meanings are not the same, as our stock ratings are determined on a relative basis. (Please refer to definitions above.)An investo r's decis ion to bu y or sell a secur ity should be based on investm ent obje ctives, cu rrent h oldings, a nd othe r indivi dual fact ors.

    Credit Suisses policy is to update research reports as it deems appropriate, based on developments with the subject company, the sector or t he markethat may have a material impact on the research views or opinions stated herein.

    Credit Suisse's policy is only to publish investment research that is impartial, independent, clear, fair and not misleading. For more detail please refer toCredit Suisse's Policies for Managing Conflicts of Interest in connection with Investment Research: http://www.csfb.com/research andanalytics/disclaimer/managing_conflicts_disclaimer.html

    Credit Suisse does not provide any tax advice. Any statement herein regarding any US federal tax is not intended or written to be used, and cannot beused, by any taxpayer for the purposes of avoiding any penalties.

    Please refer to the firm's disclosure website at www.credit-suisse.com/researchdisclosures for the definitions of abbreviations typically used in the targetprice method and risk sections.

    See the Companies Mentioned section for full company names

    Companies Mentioned (Price as of 14-Jun-2013)

    AREZZO INDUSTRIA (ARZZ3.SA, R$34.53)Aliansce Shopping Centers (ALSC3.SA, R$20.05)BR Malls Participacoes (BRML3.SA, R$20.63)CIA Hering S.A. (HGTX3.SA, R$33.09300117)Guararapes Confe (GUAR3.SA, R$88.51)Iguatemi (IGTA3.SA, R$23.2)Le Lis Blanc (LLIS3.SA, R$8.38)Lojas Renner(LREN3.SA, R$66.7)Marisa S.A. (AMAR3.SA, R$22.99)Multiplan Empreendimentos. Imobiliarios S/A (MULT3.SA, R$51.16)Sonae Sierra Brasil (SSBR3.SA, R$25.88)

    Disclosure Appendix

    Important Global Disclosures

    Guilherme Rocha, Nicole Hirakawa and Vanessa Quiroga, CFA each certify, with respect to the companies or securities that the individual analyzes,that (1) the views expressed in this report accurately reflect his or her personal views about all of the subject companies and securities and (2) no partof his or her compensation was, is or will be directly or indirectly related to the specific recommendations or views expressed in this report.

    3-Year Price and Rating History for Aliansce Shopping Centers (ALSC3.SA)

    ALSC3.SA Closing Price Target Price

    Date (R$) (R$) Rating

    26-Aug-10 11.43 14.50 O *

    06-Dec-10 13.72 17.00 N

    05-Sep-11 13.00 18.00 O

    06-Sep-11 13.13 *

    01-Dec-11 14.35 18.00 O

    22-Mar-12 17.10 20.50

    19-Aug-12 18.95 24.00

    29-Oct-12 22.75 R

    21-Jan-13 25.05 30.50 O

    * Asterisk signifies initiation or assumption of coverage.

    OUTPERFORM

    NEUTRAL

    RESTRICTED

    3-Year Price and Rating History for BR Malls Participacoes (BRML3.SA)

    BRML3.SA Closing Price Target Price

    Date (R$) (R$) Rating

    25-Aug-10 6.95 32.00 N

    24-Sep-10 14.07 16.50

    06-Dec-10 16.60 19.00

    28-Feb-11 15.85 20.00

    05-Sep-11 18.97 25.00 O

    06-Sep-11 19.50 *

    01-Dec-11 19.05 24.00 O

    22-Mar-12 22.50 27.00

    22-Aug-12 24.90 28.00

    28-Jan-13 26.00 31.00 N

    * Asterisk signifies initiation or assumption of coverage.

    NEUTRAL

    OUTPERFORM

    3-Year Price and Rating History for Multiplan Empreendimentos. Imobiliarios S/A (MULT3.SA)

    MULT3.SA Closing Price Target Pri