Investor Behavior - Actuarial Research Foundation
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Transcript of Investor Behavior - Actuarial Research Foundation
Risks In Investment Accumulation Products: Insights From Investor
BehaviorFoundation Symposium
New York CityJanuary 14, 1999by Nino Boezio
AgendaI - Why Study Investor Behavior?
– Current Investment Theory– Behavioral Finance
II - Framework Of StudyIII - General FindingsIV - ApplicationsV - Conclusions - Future Direction
Why Study Investor Behavior?“Without due recognition of crowd-thinking
(which often seems crowd madness) our theory of economics leave much to be desired.”
- Bernard M. Baruch (1932)
Why Study Investor Behavior?• “History repeats itself” - Phillip Guedalla• “If past history was all there was to the
game, the richest people would be librarians” - Warren Buffett
• History does not repeat itself but it does rhyme - Mark Twain
• Financial markets, unlike other areas, have been least studied for disaster prevention -Dr. Ron Dembo, Algorithmics
Why Study Investor Behavior?• Fundamental analysis is deficient in
explaining market activity completely, especially in shorter-term
• Certain events cannot be explained satisfactorily on a rational basis alone e.g. market undervaluation before 1980s, severe market corrections
• Understanding behavior will help us understand anomalies, booms & panics
Why Study Investor Behavior?Knowledge of how investors make decisions
help us understand:• What can go wrong with the current
investment management process• What errors and misjudgements do
investors make• When will consumers/investors buy
more/less of a product or decide to sell?
Current Investment TheoryCapital Asset Pricing Model (CAPM)• Rp = Rf + b (Rm - Rf)• investors risk averse - prefer smaller
variance for comparable levels of return• control risk via diversification• similar investment horizons• similar views on variance (not necessarily
the mean)
Current Investment TheoryCAPM Continued:• investors able to lend or borrow at
prevailing risk free rate and can sell short without restriction
• able to commit virtually any desired amount of funds without affecting price or return of any investment
(William Sharpe, “Capital Asset Pricing In A Theory Of Market Equilibrium Under Conditions Of Risk”, The Journal Of Finance, 1964)
Current Investment TheoryWhy do investors trade?• Risk/ return preferences are constantly
changing• Investors are also responding to new events• Events occur in random fashion, and are
independent of each other
Current Investment TheoryRandom Walk Hypothesis• the efficient marketplace is dominated by a
large number of rational, profit seeking, risk-averting investors
• information is quickly available & incorporated in prices
Current Investment Theory• Semistrong form of market efficiency
suggested - market reflects historical trading activity and public information (not private)
• “Market starts anew each day”- Adam Smith
Assuming investors are rational means that all behavior is reduced to a mathematical optimization problem (DeBondt)
Behavioral Finance• Identification of mistaken analyses and
biases made by investors• Investors not perfectly rational, as
foundations of modern finance assume• Does not reject fundamental analysis &
consumer behavior, but adding investor psychology to the list of factors
Investment Industry• Increasingly quantitative & short-term• Harder to beat the benchmarks - loser’s
game/ indexing?• Pressure building on management fees• Giving investors/ consumers what they want• Always looking for the winning “edge”• Industry changes mainly when necessary
Investor Behavior StudyStudy Parameters - General Emphasis• Long-term rather than short-term behavior• Observed instead of hypothetical/
theoretical• Research which not mathematically driven
or based on technical analysisNot always exclusive since some inclusions
could stimulate further interest or discussion
Investor Behavior StudyRelatively easy to venture into other areas due
to an overlap but mostly avoided:• “mainstream” psychology• marketing/ advertising & consumer
behavior• general investment theory & portfolio
management• economics
Investor Behavior Study - Results• Most comprehensive study we are aware of• Retained experienced research consultant
(Teresa Croscup)– seven months of full-time research– approximately 1,000 article citations & 85-90%
collected– insights into copyright and legal issues– cataloging system incorporated, also by subject– software advice - for subject search, additions
Study - Investor Behavior Content
• A good synopsis of investor behavior research to the present
• Annotated bibliography completed & availability of articles indicated
• On Society of Actuaries website• Still some stones unturned -- areas for
further research• Includes some material on other areas (next
slide) for purposes of discussion
Study - Content Other Than Investor Behavior
Tax Effects Speculation MarketVolatility
EarningsForecasts
RiskAversion
DividendPolicy
FinancialReporting
HerdingMutualFunds
OpportunityCost
PensionFunds
TimeConstraints
PortfolioMix
CapitalBudgeting
SocialInvesting
IPOs
Prospect Theory(Kahnehan & Tversky)
• Emotion destroys self-control which is required for rational decision making
• Investor frequently unable to fully comprehend what dealing with
• Asymmetry in taking risk, which is contrary to rational behavior
• Risk averse in gains, risk seeking in losses (next example)
Prospect Theory - Example (Tversky)
• Decision I– A. a sure gain of $240– B. a 25% chance to gain $1,000
• Decision II– C. a sure loss of $750– D. a 75% chance to lose $1,000
Prospect Theory - Example (Tversky)
• Given choice between A & B, 84% of participants choose A
• Given choice between C & D, 87% of participants choose D
• In combination, 73% chose A & D, 3% chose B & C
Prospect Theory - Example (Tversky)
• But in aggregating:– A & D = 25% chance of gaining $240 and a
75% chance of losing $760– B & C = 25% chance of gaining $250 and a
75% chance of losing $750• A & D inferior to B & C• People pay a premium for a sure gain, and
pay a premium to avoid a sure loss
Other Select Behavioral Traits• Mental accounting, overconfidence (Tversky)• Loss aversion, endowment theory, status
quo bias, pain of regret (Tversky, Kahneman, Knetsch)
• Regret aversion (Larrick, Boles)• Barn door closing, herd migration (Patel,
Zeckhauser, Hendricks)• Representativeness heuristic - a good stock
is a stock of a good company (Statman)
Investor Choice• Even though equities outperform bonds in
long-run, investors still include bonds in portfolio since:– care what happens in short-term– dislike loss in value more than like rise in value(Bernartzi, Thaler)
• More frequent valuations require more bonds (Bernartzi, Thaler)
Investor Choice• Evaluate stocks as if one year horizon,
otherwise equity premium too high based on risk averseness alone (Bernartzi, Thaler)
• More willing to accept risk if evaluate risks less often (Thaler, Tversky, Kahneman, Schwartz)
• Prefer less ambiguity (Curley, Yates, Frank, Abrams)
Investor Choice• Most important factor influencing investor
behavior is the recent past e.g. news, earnings, trends (Pennar)
• Average person is psychologically predisposed to lose money (Green)
• Nature of human behavior is to try to escape discipline (Epstein)
General Market Behavior• Serial market correlation i.e. trend• Stock prices have a memory (DeBondt)• US & Canadian equity markets - 1000 day
(4 year) memory, German equity markets 6 year memory (Ed Peters, PanAgora Asset Mgmt.)
• Investors think linearly, so fail to respond to trend change (Dreman)
• Market, like other areas, move in cycles
General Market Behavior• Investors accumulate information and then
may act all at once • First few reports signalling a change in
trend often disregarded (Ed Peters)• Reach a point where too much information
counterproductive (Dreman)• Investors overreact to short-term (Thaler,
DeBondt)
General Market Behavior• The longer that investors sustained to a
trend, the more vulnerable to an adverse, large, unanticipated trend reversal
• Markets highly correlated in panics• Circuit breakers may work opposite effect • Foreigners can unnecessarily incite a crisis,
since less informed• Under fear, liquidity diminishes
General Market Behavior• Investors believe what want to believe, and
hard to change • Private investors trade mutual funds like
they used to trade stocks and hold less than 3 years (John Bogle, Vanguard)
• Future cash flows into equity & mutual funds contingent on recent past performance
The Learning Process• Students bid up prices to bubbles the first
time around, but learned from the mistake (Gallant)
• Experienced commodity and stock traders much less biased (Anderson, Sunder)
Bubbles, Panics, Crises & Catastrophes
• Investors see hazards where do not exist, and overlook hazards that do exist (Curran)
• Base risk on events which most available to memory, fear and seduction (Curran)
• Examples of manias, panics: tulipmania, German hyper-inflation of 1920s, stock market crashes, bank runs, internet?
• Bubbles created by uninformed investors entering the market (Rappaport, White, Renshaw)
Bubbles, Panics, Crises & Catastrophes
• Behavioral trends can continue for quite some time
• Identifying manias can be subjective• Herd creates opportunities, but can be
dangerous & lonely (Norton)
Speculation• Gamblers are biased - see sequences e.g.
roulette wheel, dice (Keren, Lewis)• Stocks, futures & options offer same fast-
paced action & potential for high payoffs as do casinos & racetracks (Williams)
• Many aggressive traders are really gamblers (Williams)
• Gamblers of higher income & social class enter financial markets instead (Williams)
ApplicationsCorporate Governance - immediate & direct
application. Examples:– Assist in review of corporate governance
guidelines– Assist in clarifying a Board’s role as overseer– Apply to investment managers - identify biases– Re-evaluate paradigms e.g. $US vs. Yen, small
vs. large cap (horizon)
Applications• Better product design
– risk management features– marketing approach (framing)– change product perceptions of risk/ reward
(mental accounting, compartmentalization)– perception of safety of institution– corporate response to each product’s investors
may need to be different, and re-evaluated periodically
Current Limitations• Current uses may be more defensive than
offensive - the loser’s game• Uses may still be subjective, and need to
move from observed to practical application• May need further developments, otherwise
may go the way of chaos theory• Statistical studies on expected performance
enhancement lacking
Areas For Further Study• Require a framework such as a behavioral
CAPM (Thaler)– Traditional CAPM: Rp = Rf + b (Rm - Rf) – Use a model such as Arbitrage Pricing Theory?
Involved multiple b in an equation which included: (1) inflation (2) industrial production (3) risk premium (4) interest rate term structure.
(Stephen Ross, “The Arbitrage Theory Of Capital Asset Pricing” Journal of Economic Theory, Dec. 1976)
Areas For Further Study• Need a benchmark of rationality (Brock)
– Use traditional “fundamental” valuation measures e.g. P/B, P/E, interest rates, dividend policy?
– “Greenspan” model (i.e. E/P vs 10 year bond yield)?
• Behavior research may highlight what people do, not always why (i.e. motives)
Conclusions• Understanding prior biases can lead to
improved product design and increased sales, higher customer retention
• Investor past experience with a product will improperly bias attitude towards the product going-forward
• Investor’s past market experience important in determining level of speculative attitude
Conclusions• Institutional attitude towards a product’s
investors may need to be more fluid• Application of principles a deviation from
current industry thinking• Current environment will determine what
investors want - may require frequent changes in products offered
• There may be multiple behavioral elements at work