Forward-looking robust portfolio selection
In this paper we develop a portfolio optimization strategy based on the extraction of option-implied distributions and the application of robust asset allocation. We compute the option-implied probability density functions of the constituents of the Euro Stoxx 50 Index. To obtain the corresponding risk-adjusted densities, we estimate the risk aversion coefficient through a Berkowitz likelihood test. The correlation structure among the stocks is computed via an ad hoc technique, which provides a correction term for the historical correlations. We implement a robust portfolio construction, in order to incorporate the uncertainty about the estimation error for the expected returns in the optimization procedure.
|Date of creation:||Jun 2013|
|Date of revision:|
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- Yacine Ait-Sahalia & Andrew W. Lo, 2000.
"Nonparametric Risk Management and Implied Risk Aversion,"
NBER Working Papers
6130, National Bureau of Economic Research, Inc.
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