기대수익률의 추정에 의한 최적자산배분에 관한 연구 <평균-분산 모형과 평균-VAR 모형을 중심으로>

Simulation on the Optimal Asset Allocation with Expected Returns Estimates

초록

In this paper we examine the optimal asset allocation both in the mean-variance and in the mean-VaR, and compare its differences using the simulation in Korean stock and bond market. we use monthly time series data set from August 2000 to July 2008. In the process, we also estimate expected return with three methods, that is, historical return, No view, specialists' view of major investment banks. Using the stock and bond portfolios, we maximizes mean-variance utility function or in mean-VaR utility function used by Alexander and Baptista(2002). Our simulation results show no significant difference between mean-variance and mean-VaR models in the optimal asset allocation. This paper indicates that mean-variance approach has usefulness in asset allocation though its limitation. Also, in terms of the optimal asset allocation we can't find significant risk-adjusted return on performance of asset allocation in using economists' market views of major investment banks.

키워드

asset allocation; mean-variance; mean-VaR; expected return; Black-Litterman model; 최적자산배분; 평균-분산 모형; 평균-VaR 모형; 기대수익률; Black-Litterman 모형
제목
기대수익률의 추정에 의한 최적자산배분에 관한 연구 <평균-분산 모형과 평균-VAR 모형을 중심으로>
제목 (타언어)
Simulation on the Optimal Asset Allocation with Expected Returns Estimates
저자
황승규; 임형준; 유시용
발행일
2009-06
저널명
재정정책논집
권
11
호
1
페이지
27 ~ 57