Fear and Greed in Financial Markets

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Fear and Greed in Financial Markets: A Clinical Study of Day-Traders. Shirley G, F13056 Surya Narayanan S, F13060 ANDREW W. LO,DMITRY V. REPIN, AND BRETT N. STEENBARGER

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This presentation talks about how an investor goes through emotional fluctuations or how an investor reacts with relevance to changes in the stock market.

Transcript of Fear and Greed in Financial Markets

Page 1: Fear and Greed in Financial Markets

Fear and Greed in Financial Markets: A Clinical Study of

Day-Traders.

Shirley G, F13056

Surya Narayanan S, F13060

ANDREW W. LO,DMITRY V. REPIN, AND BRETT N. STEENBARGER

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Arguments of critics of the Efficient Markets Hypothesis – “ investors are generally irrational, exhibiting a number of predictable and biases, often attributed to psychological factors—fear, greed, and other emotional responses to price fluctuations and dramatic changes in an investor’s wealth “

Recent studies suggest

The emotions of an individual and the rationality displayed in his decision making are linked

Emotions and rationality in decision making are complementary, not antithetical

INTRODUCTION

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In a pilot study of 10 professional securities traders during live trading sessions, Lo and Repin (2002) present psychophysiological evidence that even the most seasoned trader exhibits significant emotional response, (measured by elevated levels of skin conductance and cardiovascular variables) during certain transient market events such as increased price volatility or intra-day breaks in trend.

In a series of case studies, B. Steenbarger (2002) also presents evidence linking emotion with trading performance.

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Objective: Investigation of the role of emotional mechanisms in financial decision-making using a different sample of subjects and a different method for gauging emotional response.

Result: A clear link between emotional reactivity and trading performance normalized by the standard deviation of daily profits-and-losses

No specific “trader personality type” in the sample used

Different personality types may be able to function equally well as traders after proper instruction and practice

individual differences pertinent to trading success lie outside the domain of behavior that can be assessed through personality questionnaires

Limitation: Psychological instruments may not have sufficient power to distinguish between successful and unsuccessful trading personality-types, and a larger sample size or a more refined alternative hypothesis may yield a more powerful test.

OBJECTIVES OF THE STUDY

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Risk-taking as an attribute or characteristic of personal preferences has been investigated extensively from both psychological and economic perspectives

D. Kuhlman and M. Zuckerman, 2000 – an attempt to determine a persistent connection between personality and risk taking

Psychologists and economists have been unsuccessful in explaining the risk-taking behavior.

Risk taking – context dependent; characterizing the context along some standardized dimensions may be a more productive line of inquiry

LITERATURE REVIEW

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Two dimensions - emotional or “affective” state, and personality traits, both of which can be measured by certain psychological survey instruments

Studies have been conducted wherein risk preferences were linked to the emotional state of the person and/or the emotional characteristics of the task

More risk-taking is reported for negatively framed situations than for positively framed ones (S. Sitkin and L. Weingart, 1995; V. Mittal and W. Ross, 1998).

When in a positive mood, people tend to be more risk-averse (A. Isen and N. Geva, 1987; Isen et al., 1988).

When positive affect is induced, people report losses to be worse than when no affect is induced (Isen et al., 1988).

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EXPERIMENTAL PROTOCOL Participants were from LBR 5 Week Training Program for Day Traders

Anonymous – Online Questionnaire

PRELIMINARY TESTS

• Anxiety Depression Survey

• IPIP NEO

• General Demographics Survey

DAILY TESTS

• UWIST Mood Objective Checklist

• Daily Trading Info – P&L

EXIT TESTS

• IPC Personality Traits

• Same Anxiety Depression Survey

Background –• U.S. stock market experienced a significant decline of over 20 percent (for example,

from 20 June to 23 July 2002, the S&P 500 Index dropped from 1,006.29 to 797.70). • Out of 80 Only 33 Survived

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IPIP-NEO in an acronym for ‘International Personality Item Pool - Neuroticism, Extraversion & Openness’

Openness - The degree to which an individual is creative and imaginative or conventional and grounded.

Conscientiousness – The measurement of an individual’s ability to control their impulses.

Extraversion – The extent to which someone is out-going and enjoys interacting with the external world.

Agreeableness – The measure of social harmony, non-confrontation & cooperation that an individual may pursue.

Neuroticism – The amount of negative feelings/emotions an individual may feel.

IPIP NEO SURVEY

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57 Male ; 7 Female

Ages ranging from 24 to 70 and a mean age of 45; 34 subjects were college-educated, 17 held graduate degrees, and 13 completed high school only.

Trading experience varied from virtually none to 44 years, with an average of 5.75 years and a median of three years.

Account sizes varied from $200 to $1,800,000 with a mean of about $116,000 and a median of $35,000.

20 subjects indicated that they “mostly break even”; for 16, trading was “mostly profitable”; for 14, “mostly unprofitable”; for 10, “consistently profitable”; and for 4 subjects, trading was “consistently unprofitable.”

DEMOGRAPHIC PROFILES & RESULTS

• No Correlation trading performance and personality traits

• Account size is positively correlated with better trading performance

• Older subjects performed worst – Most Unprofitable• Women, Older Subjects traded less

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Normalized daily performance highly positively correlated with Pleasant (37.5 percent, p 0.01 percent) and highly negatively correlated with Unpleasant (31.7 percent, p 0.01 percent) emotional states, but not as highly correlated with the Activated or Deactivated categories

for traders in the top trading-performance tercile, the correlations between profits-and-losses and Pleasant and Unpleasant categories are lower than for the bottom tercile.

This suggests that emotional reactivity may be counterproductive for trading performance but not conclusive

Trading Performance & Mood

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Financial traders share a certain set of personality traits (e.g., aggressiveness or extraversion), we found little correlation between measured traits and trading performance.

One component of successful trading may be a reduced level of emotional reactivity.

High level of emotional reaction reduces Trading Performance

CONCLUSION

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