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Behavioral Investment Management

Behavioral Investment Management

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Behavioral Investment Management. Overview. Beating the market Are markets efficient? What are the sources of alpha? Is your alpha reliable? Behavioral approach to asset management Investors are biased Biases often persist Biases are not always arbitraged away - PowerPoint PPT Presentation

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Slide 1

Behavioral Investment Management

1

Overview

Beating the market

Are markets efficient?

What are the sources of alpha?

Is your alpha reliable?

Behavioral approach to asset management

Investors are biased

Biases often persist

Biases are not always arbitraged away

Example of implementing a behavioral approach

2

Are Markets Efficient?

Are Markets Efficient?

4

Real Life Orange Juice Example:

Royal Dutch / Shell formed in 1907

Royal Dutch trades on the NYSE

Shell trades on the Financial Times Stock Exchange Index

1 Royal Dutch = 1.5 Shell

5

Source: Froot and Dabora (1999)

Do These Two Stocks Trade At A Price Ratio Of 1.5?

6

Source: Thaler (2008)

6

Another Orange Juice Example

3Com sold 5% of Palm, the rest still belonged to 3Com stockholders

Each 3Com holder owned 1.5 shares of Palm

At the end of 3/2/2000 Palm was at $95

3Com holders owned $142.50 worth of Palm

7

Source: Lamont and Thaler, (2002)

What Was 3Com Worth At The Close of 3/2/2000?

8

Source: Lamont and Thaler, (2002)

$242?

$197?

$142.50?

$102?

$81?

What Are The Sources Of Alpha?

Fundamental Managers

Better information

Analysts outperform on stock recommendations when they have school ties to senior officers of the firm being evaluated

Better processing

Warren Buffett has a net worth of $62 billion

Berkshire Hathaway averages ~27% annual returns

10

Sources: Frazzini, et al (2008), http://moneycentral.msn.com/content/investing/findhotstocks/p90537.asp

Market Average Vs. Buffett Returns

11

Source: CRSP Database

Market Average

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Quantitative Managers

12

Finding statistical relationships

Momentum

Short and long term returns negatively predict returns but intermediate returns predict continuation

Reversal

Stocks doing well tend to do worse than average over the long term

Sources: Jegadeesh and Titman (1993, 1999), Debondt and Thaler (1985)

Quantitative Managers

13

Post Earnings Announcement Drift

A stock's price jumps after an earnings surprise and tends to continue in the same direction over the following months

The January Effect

Small stocks give excellent returns from the end of December through January

Sources: Ball & Brown (1968), Rozeff & Kinney (1976)

Is Your Alpha Reliable?

By The Time We Know Buffett Has Alpha, Hes Ready To Retire

15

Source: CRSP Database

Buffett Annualized Returns

1976 - 19861986 - 19961996 - 20060.440.280000000000000080.12000000000000002Market Average Annualized Returns

1976 - 19861986 - 19961996 - 20060.140000000000000010.140000000000000019.0000000000000024E-2

Daily Returns Before And After Anomalies Were First Published

16

Sources: Marquering et al (2006)

Before

Holiday EffectSize EffectJanuary Effect2.8399999999999996E-31.2300000000000021E-31.4000000000000028E-3After

Holiday EffectSize EffectJanuary Effect6.40000000000002E-45.6000000000000093E-4-2.7000000000000087E-4

Behavioral Approach To Asset Management

Investors Are Biased

Roulette Anyone?

19

Roulette is a casino game where a wheel and a ball are spun in opposite directions and eventually, the ball falls into a space. Bets can be placed on whether the ball will fall into a red, black, or green space.

There are 18 red spaces,

18 black, and 1 green

Question:

Youre in Vegas and walk up to roulette tables with the 5 previous spins posted as:

Which table would you feel more comfortable placing a bet on black?

20

Table 1Table 2292736317265129

Representativeness Heuristic

Representativeness Heuristic

Belief that even small samples should be representative of the population

People also think that the recent past is indicative of the future

The Gamblers Fallacy says:

5 reds in a row in a fair gameblack is due!

21

Question:

(1) Write down the last 4 digits of your SSN

(2) Do you think that a Gronitz PCM-5 CC Tuba costs more or less than this number?

(3) What is your best estimate of the cost of a Gronitz PCM-5 CC Tuba?

22

Anchoring

The tuba costs ~$12,000 according to www.tubaexchange.com

Any arbitrary number can influence your guess by anchoring you to that number

23

What Is Your 90% Confidence Interval For These Questions?

Lower Upper

Length of the Nile River (miles) ____ ____

Diameter of the Moon (miles) ____ ____

Weight of an empty Boeing 747 (lbs) ____ ____

Year in which Mozart was born ____ ____

Number of countries in OPEC ____ ____

24

Source: Fuller (2008)

Answers:

Length of the Nile River (miles) 4,187

Diameter of the Moon (miles) 2,160

Weight of an empty Boeing 747 (lbs) 390,000

Year in which Mozart was born 1756

Number of countries in OPEC 13

Were these answers within your range?

25

Source: Fuller (2008)

Biases Often Persist

Immediate Gratification

27

Is there learning?

28

Biases Are Not Always Arbitraged Away

Arbitrage Concentrates In Only A Few Markets

What would you get if you converted:

Arbitrage is concentrated in bonds and exchanges and little in stocks

There is low cost and risk

There is high leverage

30

?

Source: Shliefer and Vishny (1997)

$1

$

Arbitrage Doesnt Necessarily Correct Mispricing

Professionals made big profits off the internet bubble buying and selling at the right time

Everyone believed the prices were too high but forecasted even higher prices in the future

31

Source: Brunnermeier, and Nagel (2004)

Behavioral Effects Can Be Hard To Arbitrage

Stocks have outperformed bonds over the last century by too high a margin

Myopic loss aversion

Investors are very sensitive to losses, and even long-term investors focus on short-term losses, hence demanding a very high equity premium

How would you arbitrage myopic loss aversion?

32

Source: Benartzi and Thaler (1995)

Long Term Capital Management

33

Source: Lowenstein (2001)

Arbitraged similar bonds (30 yr & 29.5 yr) and figured they would converge in the long run

Annual returns were > 40%!

Lost $4.6B over 4 mos in 1998

Eventually, the bond prices did converge but LTCM went bankrupt waiting

Example Of Implementing A Behavioral Approach

Mental Mistakes Made By Investors

Under-reaction to new information

Foundation of the growth process

Over-reaction to old information

Foundation of the value process

35

Source: Fuller (2008)

Causes Of Under-Reaction

Anchoring

Individuals are tied to their previous opinions, causing under-reaction to new information, resulting in biased expectations

Overconfidence

Individuals place too much confidence in existing knowledge, causing under-reaction to new information

36

Source: Fuller (2008)

Analysts Under-React to Earnings Surprises

Analysts are surprised again and again when growing companies outperform forecasts

Surprises are greater when earnings increases are permanent (i.e., success of a new product) versus temporary (i.e., change in exchange rate)

37

Analysts Revisions For Fiscal Year 1 Earnings

38

Source: Fuller & Thaler (2008)

Permanent351553524635338354303552035611357033579535885359763606836160362503634136433365253661636707367993689136981370723716437256373463743737529376213771137802378943798638077381683826038352384423853338625387173880738898389903908239172392633935539447395380.144230769230769197.8316326530612421E-26.539558089807565E-27.1428571428571438E-20.22342995169082155.1051051051050997E-28.6956521739130557E-26.7164179104477598E-20.181159420289854886.4583333333333548E-25.1315789473684204E-22.6959357167811827E-20.191406250000000395.1787994891443374E-26.5789473684210523E-28.9973349675065567E-20.183692596063730068.9975093399751252E-29.6284987277353656E-29.7112860892388395E-20.20001586797841956.6852886405958961E-26.9306930693069452E-28.838709677419368E-20.139225181598063449.2307692307692618E-28.035714285714303E-28.4033613445378089E-20.106870229007633677.1690502383571664E-20.103553921568627579.5808383233533009E-20.191919191919192430.10638297872340428.2951070336391527E-20.104166666666666770.166666666666666668.4856541486651518E-28.5106382978723735E-27.2970612678007099E-20.149673579109062879.4720496894410297E-27.6923076923076955E-26.6666666666666596E-20.130158730158730086.194224975842666E-26.7567567567567502E-28.5972850678733004E-20.1363636363636363Temporary351553524635338354303552035611357033579535885359763606836160362503634136433365253661636707367993689136981370723716437256373463743737529376213771137802378943798638077381683826038352384423853338625387173880738898389903908239172392633935539447395380.117971014492753552.4390243902439001E-22.0408163265306138E-23.0769230769230722E-20.132591093117409382.2222222222222227E-22.5438809350481248E-22.0067114093959715E-28.1196116786205849E-21.9615384615384642E-27.4134199134198702E-34.5643584944894521E-36.83760683760683E-21.7700501253132883E-22.5000000000000015E-22.6315789473684213E-20.104799452870418791.4141414141414106E-22.7932960893854768E-21.7070685011283372E-25.0858167283841821E-200-1.0416666666666699E-25.0911018613052653E-22.7027027027027094E-21.3528954705425275E-21.6129032258064516E-21.6950369891546316E-28.0298786181139028E-32.4590163934426198E-22.3041474654377801E-27.8651685393258397E-24.6511627906976896E-23.8835026161895964E-23.4313725490196005E-28.6057692307692821E-22.7984100616991019E-23.8237125683651958E-22.5657894736842102E-20.104294478527607613.2529069767441854E-23.1638458474204066E-22.9411764705882311E-28.7136929460580992E-22.9198635976129598E-23.2352941176470605E-22.9411764705882311E-28.4375000000000047E-2

Causes Of Over-Reaction

Representativeness

People tend to infer that a single observation represents the entire population (stereotyping)

Saliency

People tend to over-estimate the probability of a low frequency event (earthquakes)

Prospect Theory

Investors may be irrationally risk averse in the domain of losses

39

Source: Fuller (2008)

Fuller and Thaler Asset Management Fund Performance

40

Source: Fuller & Thaler (2008); See important disclosure on last page of presentation

3 Month T-Bill365853661636646366773670736738367693679936830368603689136922369503698137011370423707237103371343716437195372253725637287373153734637376374073743737468374993752937560375903762137652376803771137741377723780237833378643789437925379553798638017380463807738107381383816838199382303826038291383213835238383384113844238472385033853338564385953862538656386863871738748387763880738837388683889838929389603899039021390513908239113391413917239202392333926339294393253935539386394163944739478395073953839568395993962939660396914.2639970000000194E-38.9779971379582487E-31.3714124721853961E-21.8669218158913425E-22.344780055464309E-22.8406428687629617E-23.350223704731748E-23.8642885442408792E-24.4084345905670362E-24.9423750443173833E-25.4939581492656993E-26.0387317974853832E-26.4966070413869384E-26.9659427004554519E-27.3763698459717628E-27.7691586199450061E-28.1153104632032833E-28.4547896189443972E-28.7844874073752244E-29.0966949699928398E-29.3819800999220299E-29.6147455004845353E-29.8070146967559654E-29.9784284978202506E-20.101253573687463360.102877897379819980.10446938106632020.106119513545102320.107711191872105660.109333947782884610.110938054655383590.112470052674948070.114016363798764950.115437866503234250.116771960308394540.117993690629588890.119021108943378560.120150186695027850.121214305849234480.122297346171612520.123322030583803190.124301585367624590.12522690918271540.126080963158146380.126990837702459670.127874443598851690.128771111676633880.129663917702498990.130489691859364570.13137940985665120.132246090608398560.133159866419085370.134084511272164920.135163025642384580.136390136873104530.13774238090730670.139263542470579040.140883632191149410.142760350398711210.144805891425925120.146819604988942980.149223338881000560.151730944206438540.154466305198929070.15718160994875580.160103493513876980.163196329427585110.166375344995910890.169806821260888670.173289336167783140.177040342175511320.180979896200772260.184722421491832930.189103525006509180.193532935637158450.198229487738891040.202861842938488970.207788765047165450.212837322085062760.217808742268289060.222932063647011790.227910620078118690.233069072593066940.238291120115498830.243037489978901430.248352718286050770.25352339524519180.258800728739174310.263788097226438810.268883690834457120.274030283084481070.278818088888312280.283430785734932520.287553165418712340.291486640339067790.29522032821628680.298060746396065390.300628310552436380.302443987673968070.304117628198128260.305758208174402520.307613690588217410.30957249589671954Large Cap Market Neutral (Net of Fees)365853661636646366773670736738367693679936830368603689136922369503698137011370423707237103371343716437195372253725637287373153734637376374073743737468374993752937560375903762137652376803771137741377723780237833378643789437925379553798638017380463807738107381383816838199382303826038291383213835238383384113844238472385033853338564385953862538656386863871738748387763880738837388683889838929389603899039021390513908239113391413917239202392333926339294393253935539386394163944739478395073953839568395993962939660396917.8493230000000989E-31.5428033444272685E-24.8564382731719896E-22.4739766844341204E-2-5.7006648934078367E-31.1338321653628703E-2-4.2278958015340429E-41.803225851755564E-22.0299353239274186E-22.6556130881945982E-2-4.5824177937749018E-32.634621882505371E-20.108504634255807590.154738841682259519.2195585544876751E-27.8825089923778402E-29.8304773252751776E-28.041745881395411E-20.105400208853464240.105818780801949060.107997650741440679.5787247386840704E-20.119960258179044650.165185832548278460.189444493560911560.173080117407944210.182176598254846750.208626038197668280.200699236527750040.186506605338724540.215914905999633870.177773338224654880.194414690140420790.241453176049702960.242164579619159190.239354910166214910.224556153665877560.239327815355249160.242703839752518910.257242328904682850.250316410990093720.23948233926861370.266326825905155770.237891559601927340.243203091089059910.254194842625252710.270366177578705120.286241185291297330.286202922188517390.275561135164711310.264894061286604750.243280277616529480.251431527720251460.259847870276698420.252870740802212170.261840577411420810.288769117170494920.298975888915587520.304100544942717880.283240063946977320.305055166849157570.309039522459485070.318246274937321380.333388229043120930.323494388379504230.334682091586105570.356918849529626160.381691608120918850.371953704043213320.353244981900575070.371514929941753340.423656282091454340.414987893824274980.444872460781649550.45417240549342880.457392042082914780.459317592170677020.497236882826848860.484447094594914420.501189680538415620.520133269677803160.543193960442404090.558497495506961480.56455661271900870.563111281578404950.595776480866975210.610740263633916980.639432510419986720.660151086324730190.667406095985565220.642645378910344230.650677673344346560.63655807694989530.687315403644467640.702527166191128980.713659499300503990.688805524435373350.72982514305190660.726904006360912680.744205950853457640.784870030015701880.842134895129619030.79531480962881163

Disclosure Statement

41

Fuller & Thaler Asset Management, Inc. claims compliance with the Global Investment Performance Standards (GIPS). Fuller & Thaler has been verified for the period from January 1, 1992 through March 31, 2008 by Beacon Verification Services, LLC. A copy of the verification report is available upon request.

This information is provided solely for general informational purposes and does not constitute an offer to sell or a solicitation of an offer to buy or sell any product or service to any person or in any jurisdiction where such offer or solicitation would be unlawful. Fuller & Thaler is an independent investment management firm registered with the U.S. Securities and Exchange Commission that manages primarily equity assets for primarily institutional investors. Fuller & Thaler seeks to identify mis-priced securities by exploiting insights from the field of behavioral finance. The firm changed its name from RJF Asset Management, Inc. to Fuller & Thaler on December 14, 1998. The firm was called RJF Asset Management, Inc. as of April 5, 1993 to December 13, 1998. The investment philosophy has remained constant throughout the firms history.

*Assets in a composite may exclude accounts in a strategy that do not comply with the composites account inclusion criteria.

Market Neutral Composite is primarily invested in the equities of the top 1,500 U.S. companies ranked by market capitalization and liquidity. The composite has a $10 million account minimum and was created in February 2000. The composite is an un-levered version of the market neutral strategy which employs a long/short strategy managed with minimal net dollar exposure and minimal net beta exposure and is measured against the Citigroup BIG Treasury Bill (3 M) (LOC) Index. The standard advisory fee is a 1.0% per annum management fee and a performance fee of 20% of the profits in excess of a T-Bill hurdle subject to a high water mark. For the period February 1, 2000 through April 30, 2000 the composite returns represent the performance for the long and short equities carved-out of a market neutral account passively equitized with S&P 500 futures (S&P 500 futures were purchased and "rolled" on a quarterly basis to maintain a passive exposure to the S&P 500 index). The composite returns were derived by excluding the futures positions from this equitized market neutral account. The carve-out received a 100% cash allocation.

Pricing of Royal Dutch Relative to Shell

(Deviation from partiy)

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Deviation

Sheet1
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&A
Page &P
Deviation
Pricing of Royal Dutch Relative to Shell(Deviation from partiy)
0.033862671020895976
0.045171182774051744
0.03844982468547263
0.03993908057190544
0.044557508479802485
0.0403726708074532
0.039326461389366005
0.0400665642601126
0.03796459295180525
0.03590378893301195
0.03988919982708781
0.04344413350624509
0.040785563272006164
0.036334266147930526
0.028832773308895828
0.03228883150719981
0.03722122915121162
0.04238555325511837
0.03519668737060031
0.030671237371165956
0.02390863838597402
0.020134301707800645
0.021120524312327426
0.01573275616851201
0.01573275616851201
0.017943409247757048
0.013257874326071097
0.02140282288152512
0.02754601627173309
0.020012042083914203
0.0171874666495912
0.021448984360356034
0.029535455486542374
0.02060532351950843
0.013582289480457636
0.013582289480457636
0.016197858592515494
0.024792297349228633
0.019426112836438855
0.018170426065162754
0.03218421023804038
0.0356074797068585
0.041875375676217075
0.03369817189992658
0.026163701211441334
0.029384085650070266
0.030404110114255013
0.029595686834222076
0.0321157448486639
0.07880775986923427
0.07237225901650593
0.07828155958191303
0.0801989878076833
0.07714490478465617
0.07127036339375745
0.07832988267770868
0.08842120510918461
0.0836454232152192
0.07900459187804339
0.07423103759880115
0.07174896796215155
0.06822347793596026
0.06374898730758838
0.07407611588213593
0.08254840397697517
0.09233605508642136
0.08780970582212802
0.08551874856222672
0.08425555985262702
0.10135040826296317
0.09277848832057817
0.09277848832057817
0.09295130481571147
0.09640272050524445
0.09640272050524445
0.09960569474492277
0.09158309911285382
0.09703907622574451
0.09277848832057817
0.09339442813197128
0.08636834180312436
0.0856530892647176
0.09065365276545394
0.1007815458969198
0.09654235078767699
0.10103156441829216
0.09024760947354556
0.08742245461459905
0.09804791481810107
0.09098228663446038
0.09500779666195494
0.0895599966785622
0.09707715974415024
0.10324051457417348
0.08836303897740565
0.08990832773103966
0.09187933207309383
0.07602329469337145
0.07149268711674567
0.0714833437400725
0.0703186518059789
0.04847538833425457
0.05094372692716375
0.05797967258213962
0.048832342661234554
0.048832342661234554
0.04642151426246699
0.0417005409038187
0.04541244415386276
0.03887219774764703
0.044325022636097965
0.04123242153873304
0.04702353124513007
0.051546009783255714
0.04457104288365863
0.04243951214552321
0.03179143510951276
0.03617988388667617
0.033562166285278194
0.03725064905189126
0.03796459295180525
0.026980840645436772
0.026980840645436772
0.027345232335693144
0.015391459964208211
0.012839690850161975
0.008916565281423972
0.016672624478476252
0.02935213030281563
0.024980930587337757
0.02022438774645364
0.013311945434186696
0.013311945434186696
0.006711481948487364
0.012686551069703175
0.006337209650651954
0.008203713286866633
0.010109012549118921
0.008932414980628436
0.004940938778367745
-0.004675720922860699
0.001815344915533807
-6.1815056888703E-4
0.002207612041722338
-0.0025757385312145907
-0.010839703774486405
-0.015207141641081208
-3.728670532709297E-4
1.094919573179659E-4
0.0070370627551075956
0.01054914719510986
0.010616099112034573
0.004024128707861023
0.01130606871208433
0.0018032458425163945
-0.0059759081498213075
-0.003386525575458958
-0.01752166244919871
-0.006767477409492889
-0.016893040640219414
-0.004993805571863436
-0.01169582312382479
-0.006977992485238945
-0.021464041890070704
-0.023105744981979585
-0.022224378881987663
-0.027381027832606042
-0.02879574633757685
-0.03778871381999125
-0.029503105590062178
-0.028826972469629696
-0.03034367454092461
-0.03028002902299095
-0.03944200222321007
-0.027998459242139815
-0.027998459242139815
-0.02581481286887694
-0.03666629695356412
-0.03320817605309232
-0.030259080161775864
-0.039749679135868445
-0.033233736156163096
-0.03616234755242726
-0.03616234755242726
-0.029444553741229038
-0.025189786059351252
-0.046175922673697606
-0.044935760722163036
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