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This paper extends Jiang, et al. (2010), Guo, et al. (2017), and others by investigating the impact of background risk on an investor's portfolio choice in the mean-VaR, mean-CVaR and mean-variance framework, and analyzes the characterizations of the mean-variance boundary and mean-VaR efficient...
Persistent link: https://www.econbiz.de/10012931231
In this paper we first extend the theory of almost stochastic dominance (ASD) (for risk averters) to include the ASD for risk-seeking investors. We then study the relationship between ASD for risk seekers and ASD for risk averters. Recently, Tsetlin, et al. (2015) develop the theory of...
Persistent link: https://www.econbiz.de/10013032513
In this paper we present two dynamic models of background risk. We first present a stochastic factor model with an additive background risk. Thereafter, we present a dynamic model of simultaneous (correlated) multiplicative background risk and additive background risk. In so doing, we use a...
Persistent link: https://www.econbiz.de/10013101800
This paper extends Jiang, et al. (2010), Guo, et al. (2018), and others by investigating the impact of background risk on an investor's portfolio choice in the mean- VaR, mean-CVaR and mean-variance framework, and analyzes the characterizations of the mean-variance boundary and mean-VaR...
Persistent link: https://www.econbiz.de/10012910559