DocumentCode
2180596
Title
The Effect of Higher Moments of Risky Asset Return on Portfolio Choice
Author
He Chao-lin
Author_Institution
Dept. of Manage. Eng., Anhui Univ. of Technol. & Sci., Wuhu, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
This paper studies the effect of higher moments of risky asset return on portfolio choice. It builds the model of portfolio choice problem and approximates its optimal solution as a function of the mean, variance, skewness, and kurtosis of the excess return by applying a Taylor expansion to the Euler equation, which maximizes the expected utility of next period portfolio wealth; based on the daily data of Shanghai Exchange Composite Index from January 2nd, 1991 to December 29th, 2006, it does an empirical study on the property of return distribution and the effect of higher moments on portfolio choice. Results show: the distribution of risky asset return is non-normality; the optimal allocation to the risky asset increases (decreases) with positive (negative) skewness and decreases with excess kurtosis, at the same time, the magnitude of increasing and decreasing increases with the degree of investor´s relative risk aversion; time aggregation reduces the magnitude of non-normality, but does not change the effect of higher moments on portfolio choice; positive skewness in the Chinese stock market is different from negative skewness in the U.S. stock market. The study demonstrates that the effect of higher moments of risky asset return should be considered in the context of portfolio choice.
Keywords
investment; risk management; stock markets; Chinese stock market; Euler equation; Shanghai exchange composite index; Taylor expansion; investor relative risk aversion; portfolio choice problem; risky asset return; Indexes; Investments; Mathematical model; Portfolios; Resource management; Stock markets; Taylor series;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5577483
Filename
5577483
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