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Does the complexity of an investment opportunity affect how people make decisions? Chris Finneran Katherine Woodfield Chris Finneran Katherine Woodfield.

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Presentation on theme: "Does the complexity of an investment opportunity affect how people make decisions? Chris Finneran Katherine Woodfield Chris Finneran Katherine Woodfield."— Presentation transcript:

1 Does the complexity of an investment opportunity affect how people make decisions? Chris Finneran Katherine Woodfield Chris Finneran Katherine Woodfield

2 Experimental Design  12 scenarios, each represented in three different investment opportunities:  Poker hands  Pie chart  Real estate investment  The odds were 80/20, 67/33, and 50/50.  Participants chose whether to invest or not.  12 scenarios, each represented in three different investment opportunities:  Poker hands  Pie chart  Real estate investment  The odds were 80/20, 67/33, and 50/50.  Participants chose whether to invest or not.

3 Motivation  Skewed decision-making  Recession?  Real world  Is everyone rational?  Skewed decision-making  Recession?  Real world  Is everyone rational?

4 Analysis Excel Spreadsheet

5 Consistency OddsNumber of inconsistent decisions 80/2023 50/5043 67/3325

6 Profit Maximizing Behavior Column 1 includes all data, column 2 removes anomalies

7 Anomalies

8 Conclusions

9 Conclusion One  People made most non-profitable decisions when the information was given in the form of poker hands.  They made second most non-profitable decisions when dealing with real estate.  They made the least amount of non- profitable decisions when dealing with pie charts.  This is organized in order of most complex to least complex, following our hypothesis.  People made most non-profitable decisions when the information was given in the form of poker hands.  They made second most non-profitable decisions when dealing with real estate.  They made the least amount of non- profitable decisions when dealing with pie charts.  This is organized in order of most complex to least complex, following our hypothesis.

10 Conclusion Two  People made the most inconsistent decisions when the scenario was 50/50.  a) By nature of a 50/50 scenario, people chose sides arbitrarily.  b) The monetary investment for real estate was higher, so people may have not wanted to invest such a large value in a 50/50 situation. On the other hand, both poker and pie charts were smaller monetary values.  People made the most inconsistent decisions when the scenario was 50/50.  a) By nature of a 50/50 scenario, people chose sides arbitrarily.  b) The monetary investment for real estate was higher, so people may have not wanted to invest such a large value in a 50/50 situation. On the other hand, both poker and pie charts were smaller monetary values.

11 Conclusion Three  People made the fewest number of inconsistent decisions with 80/20 investment scenarios. This is because the odds are skewed enough to make the decision much more obvious.  People made the second fewest number of inconsistent decisions with 67/33  People made the fewest number of inconsistent decisions with 80/20 investment scenarios. This is because the odds are skewed enough to make the decision much more obvious.  People made the second fewest number of inconsistent decisions with 67/33

12 Applications  Gambling vs. Investing  Minorities in higher education  Gambling vs. Investing  Minorities in higher education


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