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Exceptional circumstances
2
Optimal Investment Theory
… in a distorted environment
Asset Allocation…
33 13 November 2014 Pictet Asset Management
Abstract The current intra-EMU Sovereign spreads no longer represent a pure credit differential, but they
incorporate a systemic risk of EMU break-up: call it extra default risk (if after break-up ‘weak’
countries were to keep their debt in €), or ‘devaluation’ risk if, as we would expect, when and if
countries convert their debt into the new national currency upon leaving EMU.
The probability of currency split is now perceived to be ‘non negligible’. In such scenario,
fundamental arguments (Unit Labor Cost trends…) argue in favor of an appreciation of the German
currency against the other large EMU members by around 30%.
All this means that the portion of the spread controlled by a single country is now limited: for Italy’s
720bp spread in the 2Y BTP-Schatz yields reached in November 2011, only around 120bp may be
considered a ‘true’ credit risk (based on a regression analysis which takes into account the relative
budget & debt relative fundamentals of the two countries: Italy & Germany).
The other part (up to 600bp) could be ascribed to market skepticism about EMU Countries staying
together in a viable way. Hence, discussing a revision of the Lisbon Treaty, a Greek exit, or any
other element raising the market perception of the general EMU break-up risk puts a prevailing
upward pressure on the spread irrespectively to Italy’s fiscal performance.
This new risk factor, however, may well trigger the infamous ‘debtor trap’ (risk premiums requiring a
higher budget surplus which harms growth hence solvency, which in turns means ever higher risk
premiums), which is exactly what we witnessed in the past months.
A circuit breaker was required to counter these systemic factors: the analysis legitimizes the ECB
(only entity with sufficient b/s ammunition) restoring Financial Stability. Such circuit breaker finally
arrived in the summer of 2012 with the ESM (European Stability Mechanism) complemented by
the ECB’s OMT (outright Monetary Transaction) a mechanism that allows the Bank to buy Bonds.
34 13 November 2014 Pictet Asset Management
EMU trasformed into a marriage of dis-interest!
10Y YTM of main EMU Countries: combination of Systemic and Country-specific patterns (for Programme Countries: Greece, Portugal, Ireland)
Fx flexibility and seignorage lost; yields at pre-EMU levels: € costs outweight the advantages ?
Source: Pictet, Bloomberg
1,5
1,5
35 13 November 2014 Pictet Asset Management
Perception on G3 Solvibility
5Y CDS of the US, JAPAN and GDP weighted average od 5Y CDS of EMU (ex-Greece) Countries
EMU pays an unwarranted premium relative to its pubic finance fundamentals
Source: Pictet, Bloomberg
USA
66bp
46bp
18bp
EMU
Japan
years 2012 2013 2014 2015 2012 2013 2014 2015USA -9,2 -6,2 -5,4 -4,7 102,4 104,5 105,9 105,4Euro Area -3,7 -3,0 -2,5 -2,3 92,7 95,0 96,0 95,4Germany 0,1 0,0 0,0 -0,1 81,0 78,4 76,0 73,6Italy -3,0 -3,0 -2,6 -2,2 127,0 132,6 135,2 133,9Japan -8,7 -9,0 -7,4 -6,2 237,3 244,0 243,7 244,1
European Commmission (Spring Forecast - May 2014)
Deficit (% GDP) Debt (% GDP)
Reasons behind EMU pain
37 13 November 2014 Pictet Asset Management
The uncomfortable EMU apartment block
In the EMU house the Greek fire
started 3 years ago. The lack of
windows (floating currencies) makes
suffucation more likely, but does not
explain why the fire spreaded so
rapidly…
Economists (eg De Grauwe) pointed
out poor Governance. Yet I believe
market forces and poor decision making have been underestimated
Congenital deficiencies? Mostly market circularity and many mistakes (PSI, EBA...)
38 13 November 2014 Pictet Asset Management
Distrust with €: game changer for Sovereign Solvency
10Y Asset Swap spread (BTP-Bund): Credit premium of BTP vs Bund = (YTM BTP 10Y – ITL Swap 10Y) – (YTM Bund – DEM Swap 10Y)
Asset swaps used to measure the relative Credit Premiums: Italian case
Source: Bloomberg
550bp
>400bp
<150bp
Sovereign bond spreads back to pre-EMU era!
10Y Swap spread (ITL-DEM) = risk free rates in respective
Currencies embed the devaluation risk
of the ITL vs DEM (covered parity)
Asset Swap difference
10Y BTP-Bund
39 13 November 2014 Pictet Asset Management
Main reason for BTP-Bund is the Uncovered Parity
The risk premium (CRP) depends on the expected probability of default: YTM BTP * (1- Pr[default]) = Risk Free Rate CRP BTP = YTM BTP – Risk Free Rate = YTM BTP * (Pr[default])
The credit premium between Italy and Germany was measured as: CRP (ITA-GER) = (YTM BTP 10Y – ITL Swap 10Y) – (YTM Bund 10Y – DEM Swap 10Y) Where Swaps enjoyed a AAA Rating (anyway the same Rating in ITL and in DEM)
CRP (ITA-GER) = (YTM BTP 10Y – YTM Bund 10Y) – (ITL Swap 10Y – DEM Swap 10Y) With reference to the Uncovered Parity: (ITL Swap 10Y – DEM Swap 10Y) = E[Δ% (ITL/DEM)] Hence: CRP = (YTM BTP 10Y – YTM Bund 10Y) – E[Δ% (ITL/DEM)] Which leads to: (YTM BTP 10Y– YTM Bund 10Y) = CRP (ITA-GER) + E[Δ% (ITA/GER)] * Pr[€ break-up] Pr[€ break-up] could be interpreted as a CONVERSION RISK in case of EMU break-up or DEFAULT following the NON-CONVERSION in case of Italy exiting EMU (the latter ought to be reflected into CDS spreads, while not the former as CDS do not trigger if a G7 Country changes legal tender (and its securities are reinbursed in such cncy).
With the ITL (Italian Lira),
its devaluation expectations
were embedded in the risk-
free (swap) rate differential
Today the devaluation risk is ‘incorporated’ into the BTP-Bund spread
40 13 November 2014 Pictet Asset Management
BTP-Bund definitely includes EMU Reversibility Risk
12 Oct 14
Source: Pictet, Bloomberg
10Y BTP-Bund Spread = Credit Premium + Expected Realignment x Probability of Fluctuation
YTM 10Y BTP
0,83%
Spread 10Y BTP vs Bund
150bp
YTM Bund 2,33%
41 13 November 2014 Pictet Asset Management
Source: Pictet
-0,5
0,0
0,5
1,0
1,5
2,0
2,5
Q3
1993
Q3
1994
Q3
1995
Q3
1996
Q3
1997
Q3
1998
Q3
1999
Q3
2000
Q3
2001
Q3
2002
Q3
2003
Q3
2004
Q3
2005
Q3
2006
Q3
2007
Q3
2008
Q3
2009
Q3
2010
Q3
2011
Actual
Fitted
120bp
R2= 0,35
500bp
The Credit Premium
Δ ASW (2Y IT-DE) = C + Δ Debt/GDP (IT-DE) + Δ [GDP growth IT – Avg Debt Servicing IT] + Δ Primary Surplus (IT-DE)
10Y BTP-Bund Spread = Credit Premium + Expected Realignment x Probability of Fluctuation
160 bp 12 Oct 14 150 bp =
Estimates of Credit component
2Y BTP-Schatz spread
10Y BTP-Bund spread
Pictet 121 bp 160 bpBank of Italy 120-150 bp ca. 200 bp
Regression shown refers to the 2 year case
42 13 November 2014 Pictet Asset Management
The Expected Realignment in case of currency ‘divorce’
10Y BTP-Bund Spread = Credit Premium + Expected Realignment x Probability of Fluctuation
160 bp 12 Oct 14 150 bp = + 30%
Italy
30%
USA
Germany
Source: OECD, Bloomberg
France
EMU
Inception
Spain
Unit Labour Cost
43 13 November 2014 Pictet Asset Management
Probability of Flotation
10Y BTP-Bund Spread = Credit Premium + Expected Realignment x Probability of Fluctuation
160 bp 12 Oct 14 150 bp = + 30%
Source: Pictet, Bloomberg
Assumptions (see previous slides):
Expected depreciation of new ITL/DEM in case of currency exodus: 30% Credit premium: 120bp
Based on 2Y Yield to maturity (BTP, Schatz, swaps)
x 0%
24%
36%
2%
Medium term: barring ERF or Eurobonds,
Realignment Risk should be contained via converging fundamentals. Or new Crises?
Today: OMT (GCC a hurdle?)
Pictet Asset Management 13 November 2014 44
Ab-Normal Correlation regime (short run) Equity - Bonds
Growth, Inflation prospects improve
Equities Bonds
Sales, Earnings rise, Price rise
Yields rise, Price fall
Growth, Inflation prospects deteriorate
Sales, Earnings fall, Price fall
Yields fall, Price rise
EMU Crisis worsens
Negative Correlation
Equities-Bonds
Positive Correlation
Equities-Bonds
Sales, Earnings rise, Price fall
Peripheral Yields rise, Price fall
EMU Therapy
46 13 November 2014 Pictet Asset Management
After 26 July, everything changes…
Speech by Mario Draghi, President of the European
Central Bank
at the Global Investment Conference in London 26 July 2012 Mario Draghi, President of the ECB, Vítor Constâncio, Vice-
President of the ECB,
Frankfurt am Main, 2 August 2012
[…] The Governing Council extensively discussed the policy options
to address the severe malfunctioning in the price formation process
in the bond markets of euro area countries. Exceptionally high risk
premia are observed in government bond prices in several countries
and financial fragmentation hinders the effective working of
monetary policy. Risk premia that are related to fears of the
reversibility of the euro are unacceptable, and they need to be
addressed in a fundamental manner. The euro is irreversible. […]
[…] Within our mandate, the ECB is ready to do whatever it takes
to preserve the euro. And believe me, it will be enough
[…] Then there’s another dimension to this that has to do with the
premia that are being charged on sovereign states borrowings.
These premia have to do, as I said, with default, with liquidity, but
they also have to do more and more with convertibility, with the
risk of convertibility. Now to the extent that these premia do not
have to do with factors inherent to my counterparty - they come
into our mandate. They come within our remit.
47 13 November 2014 Pictet Asset Management
Outright Monetary Transactions (OMT): the «circuit breaker»
Positives
The ECB kept its promise to do “whatever it takes”: it falls within the ECB duties to repair distorted sovereign spreads as well as financial fragmentation among EMU countries
Proposed purchases : government bonds with 1-3years residual maturity. Good compromise
Unlimited amount may by bought by the ECB
The BCE explicitly gives up privileged creditor status on bonds purchased under OMT (NB: not under previous SMP!) – this increases the residual value of bonds for private investors
Trasparency as for: amounts purchased, its market value, etc.
the German government confirms: the BCE is operating within its mandate
Bundesbank only dissent
Negatives
“Stricter and effective” conditionality. Activation of OMT will depend on acceptance by Spain or Italy (if any) of IMF supervision. High domestic political cost
Bundesbank’s opposition still there (would weigh on activation)
Sterilisation of purchases under OMT in order to immunise monetary impacts (no QE)
48 13 November 2014 Pictet Asset Management
Draghi shot the «black swan» of EMU break-up…
49 13 November 2014 Pictet Asset Management
EMU Exit Strategy
ROADMAP (June ‘12)
Other Measures aimed at reducing Financial Fragmentation and Credit Crunch
LTRO (Dec’11-Feb’12); Repo rate cut (Jul ‘12). Likely again very soon (depo?)
OMT (Sep ‘12): BCE -> financial stability (conditional to PCCL/MoU with ESM)
TECHNICAL DECISIONS-ECB
Necessary and (temporarily) sufficient conditions
Necessary conditions
1. Banking Union: supervision & resolution, limited guarantee on bank deposits (2013)
2. Fiscal Union: SGP-F. Compact (Str.Def.<0,5%; Debt/GDP->60%, 5%/yr; Procedure)
3. Political Union: by 2020?
Sufficient conditions
Full Political Union: Risk pooling (Eurobonds, ERF) once Economic and Fiscal Convergence
is achieved (2015?). This process requires pooling Sovereignty
EMU Break-up: OMT fails, crisis, default, divergence?
END-GAME for EMU POLITICAL DECISIONS
Exp.
Rea
lignm
ent
Prob
abili
ty o
f Flu
ctua
tion
Cred
it Pr
emiu
m POLITICAL DECISIONS
50 13 November 2014 Pictet Asset Management
EMU must progress on the RODMAP or... troubles ahead
Current Situation
One Country leaves (Greece or Germany?) National Currencies
EMU Disintegration (<10%)
Source: Pictet
EMU Integration (>90%)
Increasing number of new-national Currencies
No eurobond Weak Central Budget Authority
Eurobonds Strong Central budget Authority
Growing Fiscal Federalism
Fiscal Autonomy Monetary Union
BCE, ESM FMI etc.: Bridge Financing a
reinforced EMU structure
Gradual Process
Unless EMU integrates, tension re Austerity and/or ECB is likely (eventually leading to German Exit?)
Traumatic Event
51 13 November 2014 Pictet Asset Management
Correlations between bonds and equities, Germany, Italy
CORRELATION between GERMAN BUNDS and MSCI EMU
The ‘core’ bonds (USA e Ger) negatively correlated with equities. This DOES NOT apply to Italy!
CORRELATION between ITALIAN BTP and MSCI EMU
-70%
-50%
-30%
-10%
10%
30%
50%
70%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13
Correlazione
Average
Source: Pictet, Bloomberg
Average
Exceptional circumstances
Optimal Investment Theory
How to adapt
… in a distorted environment
Asset Allocation…
Pictet Asset Management 13 November 2014 53
Expected volatilty
Implied Volatility (Index Options)
Uncertainty reduced by ‘endogenous’ Fed (unemployment doesn’t decrease, QE increses) and BCE’s OMT
Source: Pictet, Bloomberg
Pictet Asset Management 13 November 2014 54
MSCI World MSCI USA MSCI EMU MSCI EM Hedge HFRX MSCI Japan Commodities EM Debt HC Corporate Inflation L EM Debt LC €/$ Gov Bonds GOLD €/¥
Correlation among different Asset Classes
MSCI World MSCI USA MSCI EMU MSCI EM MSCI Japan Hedge HFRX EM Debt HC €/$ €/¥ Commodities GOLD EM Debt LC Corporate Gov Bonds Inflation L
MSCI World €
MSCI World €
Source: Bloomberg
Pictet Asset Management 13 November 2014 55
-0,80
-0,70
-0,60
-0,50
-0,40
-0,30
-0,20
-0,10
0,00
0,10
0,20
0%
5%
10%
15%
20%
25%
30%
35%
40%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13 gen-14
Volatility and Correlation (weekly; 12M rolling)
Equity Volatility (St. Dev.)
Bond Volatility (St. Dev.)
Correlation (rhs)
Annualised Vol
Correlation Analysis If correlation falls (better if <0) when volatility rises, then the diversification benefit intensifies
Source: Pictet, Bloomberg
Volatility and Correlation (weekly; 12M rolling)
Avg: -0,42
Pictet Asset Management 13 November 2014 56
CORRELATION BETWEEN US TREASURIES and MSCI W ($)
The ‘core’ bonds (USA e Ger) negatively correlated with equities. This DOES NOT apply to Italy!
CORRELATION BETWEEN ITALIAN BTP and MSCI EMU
-70%
-50%
-30%
-10%
10%
30%
50%
70%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13
Correlazione
Media
-80%
-70%
-60%
-50%
-40%
-30%
-20%
-10%
0%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13
Correlazione
QE2
QE1 Media
Source: Pictet, Bloomberg
Correlations between bonds and equities, USA & Italy (Jan ‘13)
QE3
Pictet Asset Management 13 November 2014 57
-60%
-40%
-20%
0%
20%
40%
60%
80%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13 gen-14
Correlation
-80%
-60%
-40%
-20%
0%
20%
gen-08 gen-09 gen-10 gen-11 gen-12 gen-13 gen-14
Correlation
CORRELATION BETWEEN US TREASURIES and MSCI W ($)
The ‘core’ bonds (USA e Ger) negatively correlated with equities. This DOES NOT apply to Italy!
CORRELATION BETWEEN ITALIAN BTP and MSCI EMU
QE2
QE1 Avrg.
Source: Pictet, Bloomberg
Correlations between bonds and equities, USA & Italy (now)
QE3
Avrg.
Pictet Asset Management 13 November 2014 58
-0,8 -0,6 -0,4 -0,2 0 0,2 0,4 0,6 0,8 1
JPY
USD
Gold
Oil
€ Govies
Bund
Treasury
MSCI EM
S&P500
4/2011-4/2012 (d)
In the last 12 monthes, few defenses
CORRELATION BETWEEN MSCI EUROPE AND OTHER FINANCIAL ACTIVITIES
Source: Bloomberg
‘Sick’ Correlations: the collateral damage of the financial crisis
Pictet Asset Management 13 November 2014 59
Different portfolios optimization methodologies (continued)
Source: Clarke, De Silva, Thorley (2012); Daly, Rossi and Herzog (2012)
We introduce now two different kind of portfolio optimizations, the Maximum Diversification and the Risk Parity approaches, which focuse on risk allocation, usually defined as volatility, rather than allocation of capital or returns (they are also known as risk-based approached). Maximum Diversification Portfolio The Maximum Diversification portfolio maximizes the ratio of weighted-average asset volatilities to portfolio volatility max
𝒘′𝝈
𝒘′𝛀𝒘
Risk Parity Portfolio In the Risk Parity Portfolio the weights must be chosen such that the contribution of each asset to the portfolio risk is equal. This requirement can be approximated by the constraint
𝑤𝑖
𝛿𝜎𝑃2
𝛿𝑤𝑖= 𝑤𝑗
𝛿𝜎𝑃2
𝛿𝑤𝑗 ∀ 𝑖, 𝑗 ∊ 1, . . , 𝑛
Pictet Asset Management 13 November 2014 60
Equally weighted portfolio, balanced portfolio and risk parity portfolio performances
Source: Bloomberg MSCI World etc.
WHICH PORTFOLIO? In normal times: Markowitz
and optimal PTF (max
Sharpe Ratio)
With volatility but stable
negative correlation:
balanced PTF
With volatility and
uncertain correlations:
equally weighted PTF (max
diversification)
With volatility and changing
correlations: risk parity
based PTF (close to
minimum risk)
Repeated crises challenged Markowitz, Relative Value strategies (HF) due to sick correlations
After the 2008, the risk parity PTF if the best performing one!
Portfolio exercise: max diversification 2010
Pictet Asset Management 13 November 2014 61
Conclusions • The benefits coming from diversification are directly proportional to the degree of decorrelation
among the investment portfolio’s assets.
• Since the subprime crisis of 2008, correlations remained relatively high (typical during
financial turmoils). On the contrary, the volatilities have experienced a normalization.
• One of the causes of the correlations behaviour is the standardization of the investors’
behaviour, affecting in particular intra-assets correlations. The correlation between equities and
bonds has been affected by the European Debt Crisis and by the behaviour of the Fed in the
USA, and later many other Central Banks adopting Quantitative Easing, that favour (at least a
temporary) inversion of the correlation sign from negative to positive.
• When there is uncertainty on the economic growth, the correlation between equities and bonds
should be ‘normal’ (negative): this could encourage holding a longer duration.
• Because of the paucity of decorrelations, there are now less opportunities than before. How to
face this new world? Two solutions: i) Reduce your Total Return objectives; ii) become more
«aggressive» in order to reach ‘sub-optimal’ but higher gains. Either way, we are induced to
diversify through additional presence of risky assets (equities).
In this last case, using a max Diversification portfolio (or based on Risk Parity), instead of a max Sharpe one, may hold better in the face of uncertain/unstable correlations.
Pictet Asset Management 13 November 2014 62
Flexible approach to compensate for lower ex-ante Returns Risk and Return assumptions resulting from the Asset classes included in our Flexible Portfolio - Jan ‘13
Source: Pictet, Bloomberg
TER
Pictet Asset Management 13 November 2014 63
Equity Exposure
Ex Ante Volatility
Time
Growth Outlook
Extreme +
Extreme -
Secular Outlook
TAA
Managing risk: keep ex-ante volatility under control (8% Max)
Pictet Asset Management 13 November 2014 64
Source: Pictet, Bloomberg
Ex-Ante Volatility of Pictet Multi Asset Global Opportunities Risk Management in Portfolio Construction
Asset Class
Contribution to Volatility (bp)
Bonds 102 Cash 0
Equities 343 Unclassified -12
TOTAL 433
Volatility
Budget
Pictet Asset Management 13 November 2014 65
MSCI World
MAGO (I)
Eur Bonds 3-5 years
Realized Volatility (240dd): MAGO: 3,3 MSCI World: 8,9 Eur Bonds 3-5 anni: 1,4
Performance of Pictet Multi Asset Global Opportunities Performance and Volatility of MAGO and its reference
Source: Pictet, Bloomberg
Andrea Delitala – Investment Advisory
Milano, 8 Aprile 2014
Hope you received some hints…
… good luck for your financial DIY!
Pictet Asset Management 13 November 2014 67
67
References
Berry R. Value-at-Risk: An Overview of Analytical VaR. Available at
http://www.jpmorgan.com/tss/General/email/1159360877242
Clarke R., De Silva H. and Thorley S. (2012). Risk Parity, Maximum Diversification, and
Minimum Variance: An Analytic Perspective. Journal of Portfolio Management, Forthcoming.
Daly D., Rossi S. and Herzog F. (2012). Methodology for the Construction and Enhancement of
Risk-Parity Portfolios. SwissQuant Group AG, Zurich, Switzerland: 416 – 419.
Duffie D. and Pan J. (1997). An Overview of Value at Risk. The Journal of Derivatives, Spring
1997, Vol. 4, No. 3: 7-49.
68 July 2012 Pictet Asset Management
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