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10 - Cumulative Decision Weights

No Dominance Violation

Published online by Cambridge University Press:  05 June 2012

Haim Levy
Affiliation:
Hebrew University of Jerusalem
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Summary

Introduction

From the discussion of the observed experimental choices in the laboratory, particularly from the Allais paradox (see Chapter 9), it is obvious that, at least in some cases, people employ decision weights (DWs) rather than objective probabilities. However, as we demonstrated in Chapter 9, although the employment of DWs may resolve some expected utility paradoxes, it may create other paradoxes, such as First-degree Stochastic Dominance (FSD) violation. This implies a rejection of the monotonicity axiom, implying that a person may prefer less wealth than more wealth, an unacceptable situation. Thus, the expected utility model reveals some paradoxes and the Prospect Theory (PT) model may violate FSD. Therefore, a more satisfactory model that avoids the two types of paradoxes is needed.

With respect to the FSD violation, one must distinguish between a predicted FSD violation, obtained with a theoretical model, and an experimentally or an empirically observed FSD violation. The observed experimental or empirical FSD violations may be induced by two factors: DWs and bounded rationality. The DWs’ effect on FSD violations, in PT framework, is discussed in Chapter 9. The bounded rationality FSD violations may be due to the complexity of the prospects under consideration; that is, people cannot comprehend the complicated distributions of rates of return of the two prospects under consideration and hence do not select rationally among the various prospects. In this chapter, we discuss these two sources of potential FSD violations. However, one should keep in mind that a violation of FSD in choices induced by bounded rationality might exist regardless of whether objective probabilities or DWs are employed. Thus, DWs and bounded rationality may join forces, operating in the same direction and resulting in an FSD violation.

Type
Chapter
Information
The Capital Asset Pricing Model in the 21st Century
Analytical, Empirical, and Behavioral Perspectives
, pp. 333 - 371
Publisher: Cambridge University Press
Print publication year: 2011

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  • Cumulative Decision Weights
  • Haim Levy, Hebrew University of Jerusalem
  • Book: The Capital Asset Pricing Model in the 21st Century
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139017459.011
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  • Cumulative Decision Weights
  • Haim Levy, Hebrew University of Jerusalem
  • Book: The Capital Asset Pricing Model in the 21st Century
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139017459.011
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Cumulative Decision Weights
  • Haim Levy, Hebrew University of Jerusalem
  • Book: The Capital Asset Pricing Model in the 21st Century
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139017459.011
Available formats
×