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Investment Biases
Endowment Effect
โ€ข Become emotionally attached to the winner
stocks that previously gave huge returns
โ€ข Reluctant to sell them even if analysis shows
they will drop in intrinsic value
โ€ข Chance of occurrence among professional
investors โ€“ 25%
Regret Aversion
โ€ข Afraid of buying too much of a stock even if it
is a good investment
โ€ข Reason โ€“ So that they can pat themselves on
the back if theyโ€™re right while also avoid big
regrets if theyโ€™re wrong
โ€ข Chance of occurrence among portfolio
managers โ€“ 16.67%
Loss aversion
โ€ข Hold on to losers for too long
โ€ข Reason - pain of accepting that youโ€™ve made a
mistake
โ€ข Hope that the stock will rebound
โ€ข Most common among individual investors
than professional managers
Representativeness
โ€ข Belief that good company must also be a good
stock, or a mediocre company a bad stock
โ€ข Undermining the concept of overpriced and
underpriced
How to Avoid it?
โ€ข Peer reviews by more objective team
members
โ€ข Quantitative models more often to make final
decisions
Are Quant models free of bias?
โ€ข No, there is bias called Anchoring
โ€ข Every quant gets anchored to a few factors,
such as the value or momentum effect
โ€ข But even these models are based on some
peoples finding backed by some explanations
โ€ข What if these people were wrong in
identifying the reasons for the prices?
Source - Bloomberg
โ€ข http://www.bloomberg.com/news/2014-04-
07/how-money-managers-fight-their-
emotions-and-sometimes-lose.html
@KritiCapital
www.facebook.com/KritiCapital
www.kriticapital.com.np
www.linkedin.com/company/kriti-
capital-&-investments-ltd

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Investment biases

  • 2. Endowment Effect โ€ข Become emotionally attached to the winner stocks that previously gave huge returns โ€ข Reluctant to sell them even if analysis shows they will drop in intrinsic value โ€ข Chance of occurrence among professional investors โ€“ 25%
  • 3. Regret Aversion โ€ข Afraid of buying too much of a stock even if it is a good investment โ€ข Reason โ€“ So that they can pat themselves on the back if theyโ€™re right while also avoid big regrets if theyโ€™re wrong โ€ข Chance of occurrence among portfolio managers โ€“ 16.67%
  • 4. Loss aversion โ€ข Hold on to losers for too long โ€ข Reason - pain of accepting that youโ€™ve made a mistake โ€ข Hope that the stock will rebound โ€ข Most common among individual investors than professional managers
  • 5. Representativeness โ€ข Belief that good company must also be a good stock, or a mediocre company a bad stock โ€ข Undermining the concept of overpriced and underpriced
  • 6. How to Avoid it? โ€ข Peer reviews by more objective team members โ€ข Quantitative models more often to make final decisions
  • 7. Are Quant models free of bias? โ€ข No, there is bias called Anchoring โ€ข Every quant gets anchored to a few factors, such as the value or momentum effect โ€ข But even these models are based on some peoples finding backed by some explanations โ€ข What if these people were wrong in identifying the reasons for the prices?
  • 8. Source - Bloomberg โ€ข http://www.bloomberg.com/news/2014-04- 07/how-money-managers-fight-their- emotions-and-sometimes-lose.html

Editor's Notes

  1. โ€œThey say at manufacturing plants you need two individuals to run them -- a person and a dog. The person to work the computer, and a dog to bite the person if he doesnโ€™t listen to the computer.โ€ - Gregg S. Fisher, chief investment officer of Gerstein Fisher, a New York money manager