Trading as entertainment

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Trading as entertainment

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Can entertainment motives help explain variation in trading activity across people? ... Entertainment attributes are spuriously correlated with an unobserved variable ... – PowerPoint PPT presentation

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Title: Trading as entertainment


1
Trading as entertainment
  • Daniel Dorn (Drexel University)
  • Paul Sengmüller (UvA Business School)

2
Research questions
  • Can entertainment motives help explain variation
    in trading activity across people?
  • What is the magnitude of entertainment-motivated
    trading?

3
Why do people tradeindividual stocks?
  • Savings and dissavings? But Why trade
    individual stocks? Why trade aggressively to
    begin with?
  • Risk sharing? But investments in the familiar
  • Speculation? But No-trade theorems?
    Individuals are not very good at it

4
Trading as entertainment
  • Previous explanations for why people trade rest
    on perceived pecuniary benefits of trading
  • Black (1986, JF) and Shiller (2000) ? Trading
    as gambling? Trading as a by-product of a hobby
    (following the financial markets)

5
Trading and trader data
  • Complete transaction history for a random sample
    of 21,000 clients at a German discount broker,
    1/1995-5/2000? individual stocks, bonds, mutual
    funds, options
  • Survey responses for a sub-sample of 1,300
    clients, 7/2000? objective attributes ?
    subjective attributes

6
Entertainment questions
  • I enjoy investing. (Es macht mir Spaß, mich mit
    Geldanlagen zu befassen.)
  • I enjoy risky propositions. (Ich habe Spaß an
    riskanten Unternehmungen.")
  • Games are only fun when money is involved.
    (Spiele machen erst dann richtig Spaß, wenn es
    um Geld geht.)
  • In gambling, the fascination increases with the
    size of the bet. (Bei Glücksspielen steigt die
    Faszination mit dem Wetteinsatz.")

(Respondents indicate their agreement with each
statement on a five-point Likert scale)
7
Normal vs excess turnover
  • Normal turnover can be rationalized by savings,
    liquidity, or rebalancing motives(similar to
    Barber/Odean)
  • Excess turnover is the remainder

8
Normal vs excess turnover
9
Hypotheses
  • Investors who enjoy investing will trade more.
  • Investors who enjoy gambling will trade more.
  • Differences in trading activity between
    entertainment-driven traders and others shows up
    as excess, not normal, turnover.

10
People who enjoy investingtrade more
excessively
11
People who enjoy risky propositionstrade more
excessively
12
Multi-variate setting
  • Similar results when we control for
  • Gender ()
  • Age (-)
  • Educational attainment
  • Self-employment ()
  • Income
  • Wealth (-)

13
Alternative explanations
  • Unimportant accounts drive results.
  • There is an omitted variable linked to survey
    participation.
  • Portfolio returns lead trading activity. People
    enjoy investing or gambling more after periods of
    high returns.
  • Overconfident investors trade more.
    Overconfident investors enjoy investing more.

14
Unimportant accounts?
  • Perhaps people who enjoy investing/gambling have
    more accounts elsewhere, e.g., full-service
    accounts
  • Overall, their trading activity may be similar to
    those of their peers, but they trade more in
    discount accounts

15
Unimportant accounts cannot explain the results
All accounts
Only important accounts
16
Non-response bias
  • Entertainment attributes are spuriously
    correlated with an unobserved variable that
    drives both survey participation and trading
    activity
  • Second stage of Heckman two-stage selection model
    returns similar results

17
Portfolio returns before the survey before
trading commissions
18
Overconfidence
  • Infer overconfidence from agreement with
  • I'm much better informed than the average
    investor.
  • My past investment successes were, above all,
    due to my specific skills.
  • I control and am fully responsible for the
    results of my investment decisions.

19
Overconfidence
  • Only agreement with 1. better than average is
    positively correlated with trading activity (see
    also Glaser and Weber)
  • Inclusion of overconfidence attributes does not
    affect coefficients of entertainment attributes
    in multivariate regression

20
Conclusion
  • Entertainment motives appear to be important
    drivers of variation in trading activity across
    people
  • Trading may be hazardous to your wealth, but
    welfare implications are not that obvious
  • Does the availability of entertainment
    alternatives affect noise trader activity?
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