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Which Optimal Design For LLDAs?

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Author Info
Marie Pfiffelmann () (Laboratoire de Recherche en Gestion et Economie, Université Louis Pasteur)

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Abstract

Lottery-linked deposit accounts are financial assets that provide an interest rate determined by a lottery. The aim of this study is to determine the optimal design of these financial assets (under cumulative prospect theory (CPT) framework). We underline that the weighting functions usually specified in the literature should be re-modeled if we want to apply CPT to finance. We propose to replace them by another functional form that preserves the main characteristics of the inverse S-shape specification, but whose slope at zero is finite. The optimal structure of payments obtained is consistent with the conclusions of behavioral portfolio theory (2000).

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Paper provided by Laboratoire de Recherche en Gestion et Economie, Université de Strasbourg (France) in its series Working Papers of LaRGE (Laboratoire de Recherche en Gestion et Economie) with number 2006-06.

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Date of creation: 2006
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Handle: RePEc:lar:wpaper:2006-06

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Related research
Keywords: Lottery-Linked-Deposit Account; Cumulative Prospect Theory; Design optimal; Probability Weighting.;

Find related papers by JEL classification:
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

References listed on IDEAS
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  1. Mauro Guillén & Adrian Tschoegl, 2002. "Banking on Gambling: Banks and Lottery-Linked Deposit Accounts," Journal of Financial Services Research, Springer, vol. 21(3), pages 219-231, June. [Downloadable!] (restricted)
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  2. Kobberling, Veronika & Wakker, Peter P., 2005. "An index of loss aversion," Journal of Economic Theory, Elsevier, vol. 122(1), pages 119-131, May. [Downloadable!] (restricted)
  3. Shefrin, Hersh & Statman, Meir, 2000. "Behavioral Portfolio Theory," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(02), pages 127-151, June. [Downloadable!]
  4. Marie Pfiffelmann, 2007. "How to solve the St Petersburg Paradox in Rank-Dependent Models ?," Working Papers of LaRGE (Laboratoire de Recherche en Gestion et Economie) 2007-08, Laboratoire de Recherche en Gestion et Economie, Université de Strasbourg (France). [Downloadable!]
  5. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
  6. Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
  7. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March. [Downloadable!] (restricted)
  8. Clotfelter, Charles T & Cook, Philip J, 1990. "On the Economics of State Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 105-19, Fall. [Downloadable!] (restricted)
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