A Model Of Comparative Statics For Changes in Stochastic Returns With Dependent Risky Assets
In this paper we show how the order of Linear Stochastic Dominance proposed by Gollier (1995) can be applied to situations with dependent risky assets.
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Other versions of this item:
- Dionne, Georges & Gollier, Christian, 1996. "A Model of Comparative Statics for Changes in Stochastic Returns with Dependent Risky Assets," Journal of Risk and Uncertainty, Springer, vol. 13(2), pages 147-162, September.
- DIONNE, Georges & GOLLIER, Christian, 1995. "A Model of Comparative Statics for Changes in Stochastic Returns with Dependent Risky Assets," Cahiers de recherche 9560, Universite de Montreal, Departement de sciences economiques.
- Dionne, G. & Gollier, C., 1996. "A Model of Comparative Statics for Changes in Stochastic Returns with Dependent Risky Assets," Papers 9609, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
- G. Dionne & C. Gollier, 1996. "A model of comparative statics for changes in stochastic returns with dependent risky assets," THEMA Working Papers 96-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- Anissa Chaibi & Maria-Lenuta Ciupac-Ulici & Mircea-Cristian Gherman, 2014. "Do Recent Stochastic Tools Help to Better Understand Investors Preference and Asset Allocation?," Working Papers 2014-130, Department of Research, Ipag Business School.
- Burton Hollifield & Alan Kraus, 2009.
"Defining Bad News: Changes in Return Distributions That Decrease Risky Asset Demand,"
INFORMS, vol. 55(7), pages 1227-1236, July.
- Burton Hollifield & Alan Kraus, "undated". "Defining bad news: Changes in return distribution that decrease risky asset demand," GSIA Working Papers 2007-E32, Carnegie Mellon University, Tepper School of Business.
- Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
- Amigues, J-P & Favard, P & Gaudet, G & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Universite de Montreal, Departement de sciences economiques.
- Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Amigues, J.-P. & Favard, P. & Gaudet, G. & Moreaux, M., 1996. "On The Optimal Order of Natural Resourse Use When the Capacity of the Inexhaustible Substitute is Limited," Papers 96.431, Toulouse - GREMAQ.
- Choi, Gyemyung & Kim, Iltae & Snow, Arthur, 2000. "Comparative statics predictions for the cross-effects of central dominance changes in risk with quasilinear payoffs," Economics Letters, Elsevier, vol. 66(1), pages 41-48, January.
- Gollier Christian & Schlee Edward E, 2006. "Increased Risk-Bearing with Background Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 6(1), pages 1-29, March.
- Edward Schlee & Christian Gollier, "undated". "Increased Risk-Bearing with Background Risk," Working Papers 2132848, Department of Economics, W. P. Carey School of Business, Arizona State University.
- Dachraoui, Kais & Dionne, Georges, 2001. "Stochastic dominance and optimal portfolio," Economics Letters, Elsevier, vol. 71(3), pages 347-354, June.
- Dachraoui, K. & Dionne, G., 2001. "Stochastic Dominance and Optimal Portfolio," Ecole des Hautes Etudes Commerciales de Montreal- 01-01, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
- K. Dachraoui & G. Dionne, 2001. "Stochastic Dominance and Optimal Portfolio," THEMA Working Papers 2001-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
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