A Dynamic Model of Investor Decision-Making: How Adaptation to Losses affects Future Selling Decisions
AbstractWe conduct an experiment to test whether the size of a loss and the time in a losing position affect investors’ adaptation to the loss situation and, subsequently, whether this adaptation affects future investment decisions. As investors adapt to losses, their neutral reference point shifts downwards causing losses to become psychologically less painful. This shift in reference point is a dynamic process that is updated every time new information is received about the stock’s performance. The dynamically changing reference point, together with changing perceptions on the stock’s expected future performance, together influence the decision to hold on to or to capitulate on an investment. We study the relative contribution of each of these components as well as their inter-relationships in a dynamic experimental design. Our results indicated that a larger loss size and a longer time in a losing position are related to higher adaptation levels. These higher adaptation levels relate to less positive emotions and less optimistic expectations about future price changes. The actual decision to capitulate an investment, however, only depends directly on the expectation about the stock’s future performance. The adaptation level, by contrast, affects the actual investment decision indirectly via its impact on expectations.
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Bibliographic InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 08-112/2.
Date of creation: 17 Nov 2008
Date of revision: 02 Sep 2013
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adaptation; capitulation; selling decisions; investment;
Find related papers by JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D03 - Microeconomics - - General - - - Behavioral Economics; Underlying Principles
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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