Robust portfolios that do not tilt factor exposure |
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Authors: | Woo Chang Kim Min Jeong Kim Jang Ho Kim Frank J Fabozzi |
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Institution: | 1. Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon 305-701, Republic of Korea;2. EDHEC Business School, Nice, France |
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Abstract: | Robust portfolios reduce the uncertainty in portfolio performance. In particular, the worst-case optimization approach is based on the Markowitz model and form portfolios that are more robust compared to mean–variance portfolios. However, since the robust formulation finds a different portfolio from the optimal mean–variance portfolio, the two portfolios may have dissimilar levels of factor exposure. In most cases, investors need a portfolio that is not only robust but also has a desired level of dependency on factor movement for managing the total portfolio risk. Therefore, we introduce new robust formulations that allow investors to control the factor exposure of portfolios. Empirical analysis shows that the robust portfolios from the proposed formulations are more robust than the classical mean–variance approach with comparable levels of exposure on fundamental factors. |
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Keywords: | Investment analysis Robust portfolio model Robustness analysis Fundamental factors |
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