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Martin Weber University of Mannheim Risk Taking
Motivation  (MiFID, 2006/73) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation  ,[object Object],[object Object],[object Object],[object Object],[object Object],Reasons to know more about your customer
Elicitation of “preferences regarding risk taking” and “risk profiles” Motivation  SOEP (2008) (Socio-Economic-Panel of the DIW) (approx. 22,000 individuals)
Motivation  SOEP (2004) (Socio-Economic-Panel of the DIW) Elicitation of “preferences regarding risk taking” and “risk profiles”
Motivation  Some German Bank (Private Wealth Management) Elicitation of “preferences regarding risk taking” and “risk profiles”
Modeling Risk Taking Risk Taking (Investing) = f ( Return, Risk) (see e.g Markowitz, JF, 1952) (see e.g Sarin/Weber, EJOR, 1993, Jia et al., MS, 1999 and E. Weber et al., 2004, JBDM) ≙   (Perceived Return) – (Risk Attitude) (Risk Perception) (Investing) Risk Taking
Modeling Risk Taking ,[object Object],[object Object],[object Object],[object Object],[object Object],Analyze this link in a questionnaire study with 78 students (Nosic/Weber, How Risky Do I Invest: The Role of Risk Attitudes, Risk Perceptions and Overconfidence, 2008)
Design: Risk Taking (State certainty equivalent) Lottery 2 Risk taking Stocks (Divide 10,000 Euros between a lottery and a risk free asset    repeat for 5 different stocks) Risk taking (Divide 10,000 Euros between a lottery and a risk free asset) Lottery 1 Risk taking
Design: Risk Taking Lottery 2 Stocks Lottery 1 Mean = 58.75% (Median = 60%) 75% of all subjects in range: (40% - 100%)  Mean = 4144.73 (Median = 4000) 83% of all subjects in range: (3000 - 5000)  Mean  Avg. stocks  = 43.64%  (Median  Avg. stocks  = 40%) 75% of all subjects in range: (28% - 100%)
Design: Perceived Return Historical Return Past return of each stock Expected Return (Stock) State expected price for each stock  (and transform this into return estimates)
Design: Risk Attitude 1  ≙ low willingness to take risk …. 5  ≙ high willingness to take risk Subjective Risk Attitude Mean = 2.59 (Median = 2.5) 91% of all subjects in range: (2 - 4)  Risk Attitude (Lottery 2) (elicit certainty equivalent and transform it into risk aversion parameters    u(x) = x α ) Mean = 0.86 (Median = 0.76) 83% of all subjects in range: (0.58 - 1)
Design: Perceived Risk Historical Volatility Past volatility of each stock Risk perception ,[object Object],[object Object],[object Object],[object Object],Expected Volatility (Stock) State upper/lower bound for each stock  (and transform this into volatility estimates)
Results: Correlation analyses First evidence for domain specificity Subjective risk attitude is better & more general predictor of risk taking behavior (Expected Return – Historical Return) Expected Volatility Historical Volatility
Results: Disggregated regressions (clustered OLS) Domain specificity More overconfident take more risk Subjective risk attitude vs. lotteries Subjective vs. objective risk/return Risk  taking (stocks)
Conclusion  Historical Return Expected Return Subjective Risk Attitude Risk Attitude Lottery 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],Risk Taking Perceived Return ≙ - . Perceived Risk Risk Attitude Historical Volatility Expected Volatility Risk Per-ception
Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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"Risk Taking" - Prof. Dr. Dr. H.C. Martin Weber

  • 1. Martin Weber University of Mannheim Risk Taking
  • 2.
  • 3.
  • 4. Elicitation of “preferences regarding risk taking” and “risk profiles” Motivation SOEP (2008) (Socio-Economic-Panel of the DIW) (approx. 22,000 individuals)
  • 5. Motivation SOEP (2004) (Socio-Economic-Panel of the DIW) Elicitation of “preferences regarding risk taking” and “risk profiles”
  • 6. Motivation Some German Bank (Private Wealth Management) Elicitation of “preferences regarding risk taking” and “risk profiles”
  • 7. Modeling Risk Taking Risk Taking (Investing) = f ( Return, Risk) (see e.g Markowitz, JF, 1952) (see e.g Sarin/Weber, EJOR, 1993, Jia et al., MS, 1999 and E. Weber et al., 2004, JBDM) ≙ (Perceived Return) – (Risk Attitude) (Risk Perception) (Investing) Risk Taking
  • 8.
  • 9. Design: Risk Taking (State certainty equivalent) Lottery 2 Risk taking Stocks (Divide 10,000 Euros between a lottery and a risk free asset  repeat for 5 different stocks) Risk taking (Divide 10,000 Euros between a lottery and a risk free asset) Lottery 1 Risk taking
  • 10. Design: Risk Taking Lottery 2 Stocks Lottery 1 Mean = 58.75% (Median = 60%) 75% of all subjects in range: (40% - 100%) Mean = 4144.73 (Median = 4000) 83% of all subjects in range: (3000 - 5000) Mean Avg. stocks = 43.64% (Median Avg. stocks = 40%) 75% of all subjects in range: (28% - 100%)
  • 11. Design: Perceived Return Historical Return Past return of each stock Expected Return (Stock) State expected price for each stock (and transform this into return estimates)
  • 12. Design: Risk Attitude 1 ≙ low willingness to take risk …. 5 ≙ high willingness to take risk Subjective Risk Attitude Mean = 2.59 (Median = 2.5) 91% of all subjects in range: (2 - 4) Risk Attitude (Lottery 2) (elicit certainty equivalent and transform it into risk aversion parameters  u(x) = x α ) Mean = 0.86 (Median = 0.76) 83% of all subjects in range: (0.58 - 1)
  • 13.
  • 14. Results: Correlation analyses First evidence for domain specificity Subjective risk attitude is better & more general predictor of risk taking behavior (Expected Return – Historical Return) Expected Volatility Historical Volatility
  • 15. Results: Disggregated regressions (clustered OLS) Domain specificity More overconfident take more risk Subjective risk attitude vs. lotteries Subjective vs. objective risk/return Risk taking (stocks)
  • 16.
  • 17.