Evaluating the Empirical Performance of Risk-based Portfolio Strategies in the Korean Stock Market |
Soonchae Park, Young Ho Eom, Jaehoon Hahn |
위험기반 포트폴리오 전략의 성과에 관한 실증 연구 |
박순채, 엄영호, 한재훈 |
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Abstract |
This paper is an empirical investigation of the performance of various portfolio selection strategies applied to the Korean stock market data. The portfolio strategies considered include the classical mean-variance optimal portfolio of Markowitz (1952), various extensions of the Markowitz model designed to reduce estimation error, and several risk-based portfolios such as equal-weighted risk contribution portfolio and most-diversified portfolio. We evaluate the out-of-sample performance of various portfolio strategies relative to the equal-weighted (or 1/N) portfolio as a benchmark, using six different sets of portfolios as the investment opportunity set. We find that risk-based portfolio strategies perform better than the classical mean-variance optimal portfolio or its various extensions in terms of the Sharpe ratio, certainty-equivalent return, or turnover. When compared against the benchmark 1/N portfolio strategy, risk-based portfolio strategies show better performance, although the difference is statistically insignificant in many cases. These main findings are also robust to varying the estimation period and portfolio rebalancing frequency. |
Key Words:
성과지표,위험기반 포트폴리오,추정위험,평균-분산최적화,포트폴리오 투자전략,Estimation Risk,Mean-Variance Optimization,Performance Evaluation,Portfolio Strategies,Risk-based Portfolio |
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