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A Closed-Form Mean-Variance-Skewness Portfolio Strategy
时间:2020年11月02日 16:06 点击数:

报告人:甄芳

报告地点:腾讯会议

报告时间:2020年11月05日星期四10:00-11:00

邀请人:刘红

报告摘要:

This paper analyzes the portfolio selection problems with multivariate skew-normally distributed risky returns. We obtain a partial elliptic cone-shaped mean-variance-skewness (MVS) frontier and a closed-form MVS portfolio strategy for investors with a cubic utility. We empirically show that the utility increase of our MVS strategy over the traditional mean-variance strategy depends on the investors' prudence and risk-aversion levels. We define an asymmetry-variance efficient portfolio whose mean and variance also affect the utility difference. In addition, we obtain a three-moment capital asset pricing model which could be easily implemented for asset pricing tests.

会议ID:809 551 908

主讲人简介:

甄芳2017年5月在新西兰奥塔戈大学获得金融学博士学位,同年加入中央财经大学中国经济与管理研究院任职助理教授。她的研究兴趣包括金融衍生品、数理金融等。论文已发表在Journal of Futures Markets, Pacific-Basin Finance Journal, International Review of Finance, Economic Modelling, Studies in Nonlinear Dynamics and Econometrics等国际期刊上。

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