G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13193
DP13193 Making Parametric Portfolio Policies Work
Thomas Gehrig
发表日期2018-09-19
出版年2018
语种英语
摘要The implementation of parametric portfolio policies as introduced by Brandt, Santa Clara and Valkanov (RFS 2009) may run into empirical problems. For example, expected utility based on monthly returns of S&P-500 data from 1995-2013 turns non-monotonic for moderate levels of (constant) risk aversion. We establish that in the leading case of constant relative risk aversion (CRRA) strong assumptions on the properties of the returns, the variables used to implement the parametric portfolio policy and the parameter space are necessary to obtain a well defined optimization problem. Without such refinements an interior maximum of the expected utility functional may not exist. We provide economic conditions on the domain and/or the utility functions that overcome such empirical problems and that guarantee the effectiveness of the approach. We illustrate the implications of our improvements by applying parametric portfolio policies to a large universe of stocks.
主题Financial Economics
关键词Portfolio policy Expected utility Risk aversion Prospect theory
URLhttps://cepr.org/publications/dp13193
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/541996
推荐引用方式
GB/T 7714
Thomas Gehrig. DP13193 Making Parametric Portfolio Policies Work. 2018.
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