Preserving Risk Aversion Under a Background Risk

2013 ◽  
Author(s):  
Jingyuan Li
1997 ◽  
Vol 34 (3) ◽  
pp. 205-222 ◽  
Author(s):  
Jordi Caballé ◽  
Alexey Pomansky

2014 ◽  
Author(s):  
David Crainich ◽  
Louis Eeckhoudt ◽  
Olivier Le Courtois

2014 ◽  
Vol 53 ◽  
pp. 59-63 ◽  
Author(s):  
David Crainich ◽  
Louis Eeckhoudt ◽  
Olivier Le Courtois

Mathematics ◽  
2018 ◽  
Vol 6 (8) ◽  
pp. 133 ◽  
Author(s):  
Irina Georgescu

In this paper, several portfolio choice models are studied: a purely possibilistic model in which the return of the risky is a fuzzy number, and four models in which the background risk appears in addition to the investment risk. In these four models, risk is a bidimensional vector whose components are random variables or fuzzy numbers. Approximate formulas of the optimal allocation are obtained for all models, expressed in terms of some probabilistic or possibilistic moments, depending on the indicators of the investor preferences (risk aversion, prudence).


2010 ◽  
Vol 2010 ◽  
pp. 1-5
Author(s):  
Masamitsu Ohnishi ◽  
Yusuke Osaki

This paper determines a new sufficient condition of the (von Neumann-Morgenstern) utility function that preserves comparative risk aversion under background risk. It is the single crossing condition of risk aversion. Because this condition requires monotonicity in the local sense, it may satisfy the U-shaped risk aversion observed in the recent empirical literature.


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