Risk management;
Decision support system;
Asset allocation;
D O I:
10.1016/j.ejor.2007.08.035
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
Optimal asset allocation well-fitting investors' goals is a pressing challenge in risk management. Making a step forward to the Sharpe ratio, the parameter-dependent Sortino-Satchell, Generalized Rachev and Farinelli-Tibiletti performance ratios are suggested for personalizing asset allocation. Tailor-made optimal asset paths for five different investor risk profiles are traced over a rolling 12 month investing horizon. Our simulations show a satisfactorily good match between asset allocation and correspondent risk profile. Specifically, Generalized Rachev ratios outperform in personalized allocation for "extreme" risk profiles, i.e. conservative and aggressive investors, whereas Sortino-Satchell and Farinelli-Tibiletti ratios for those that are more moderate. Sharpe ratio confirms its ability in constructing steady-diversified portfolios, although underperformed. (C) 2007 Elsevier B.V. All rights reserved.