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Asymptotic behavior of Mean-CVaR portfolio selection model under nonparametric framework
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作者 ZHAO Jun ZHANG Yi 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第1期79-92,共14页
Portfolio selection is an important issue in finance and it involves the balance between risk and return. This paper investigates portfolio selection under Mean-CVa R model in a nonparametric framework with α-mixing ... Portfolio selection is an important issue in finance and it involves the balance between risk and return. This paper investigates portfolio selection under Mean-CVa R model in a nonparametric framework with α-mixing data as financial data tends to be dependent. Many works have provided some insight into the performance of portfolio selection from the aspects of data and simulation while in this paper we concentrate on the asymptotic behaviors of the optimal solutions and risk estimation in theory. 展开更多
关键词 nonparametric portfolio CVaR asymptotic return finance consistency proof estimating instead
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