Abstract
This study introduces a multivariate entropic Value at Risk (mEVaR) risk measure, broadening the conventional Value at Risk scope to a multi-asset scenario. The mEVaR is coherent and encapsulates the integrated risk of various assets in a portfolio. In addition, a new theoretical result incorporates mutual information into the mEVaR to capture tail dependence during extreme market events. The findings suggest that greater mutual dependence among assets increases risk as the benefit of diversification decreases. Examples, simulations, and empirical studies illustrate the applicability of these risk measures as tools for managing and optimizing investment portfolios.
Original language | American English |
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Journal | Finance Research Letters |
State | Published - Jul 20 2023 |
Disciplines
- Econometrics
- Business Analytics
- Finance
- Finance and Financial Management
Keywords
- Entropic Value at Risk
- Multivariate analysis
- Mutual information
- Risk management
- Uncertainty