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Do Recent Stochastic Tools Help to Better Understand Investors’ Preference and Asset Allocation?

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  • Anissa Chaibi
  • Maria-Lenuta Ciupac-Ulici
  • Mircea-Cristian Gherman

Abstract

In this study, we contribute to the literature of stochastic dominance by studying the effect of generalized first and second order stochastic dominance changes on returns distribution of financial time series. This paper contributes to the existing literature by investigating how recent developments in stochastic dominance can be implemented to better understand the statistical characteristic of distributions associated with traded financial assets. In particular, we assess the impact of a shock which occurs in the evolution of a time series on the investors preferences based on data from European developed and emerging stock markets. We show that stochastic dominance tools form a useful tool in risk aversion analysis and asset allocation.

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Bibliographic Info

Paper provided by Department of Research, Ipag Business School in its series Working Papers with number 2014-130.

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Length: 12 pages
Date of creation: 25 Feb 2014
Date of revision:
Handle: RePEc:ipg:wpaper:2014-130

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Keywords: asset allocation; empirical distributions; stochastic dominance; utility function; risk aversion;

This paper has been announced in the following NEP Reports:

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  1. Bruce A. McCarl & David A. Bessler, 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 33(1), pages 56-63, 04.
  2. Frank Cowell & Maria-Pia Victoria-Feser, 2007. "Robust stochastic dominance: A semi-parametric approach," Journal of Economic Inequality, Springer, vol. 5(1), pages 21-37, April.
  3. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2003. "Consistent testing for stochastic dominance under general sampling schemes," LSE Research Online Documents on Economics 2208, London School of Economics and Political Science, LSE Library.
  4. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(02), December.
  5. Dentcheva, Darinka & Ruszczynski, Andrzej, 2006. "Portfolio optimization with stochastic dominance constraints," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 433-451, February.
  6. Meyer, Jack & Ormiston, Michael B, 1985. "Strong Increases in Risk and Their Comparative Statics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 425-37, June.
  7. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
  8. Mohamed Arouri & Amal Aouadi & Philippe Foulquier & Frédéric Teulon, 2013. "Can Information Demand Help to Predict Stock Market Liquidity ? Google it !," Working Papers 2013-024, Department of Research, Ipag Business School.
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