Dynamic Portfolio Optimization Using Information from a Crisis Indicator

Victor Gonzalo, Markus Wahl and Rudi Zagst ()
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Victor Gonzalo: Department of Mathematics, Technical University of Munich, 85748 Munich, Germany
Markus Wahl: Department of Mathematics, Technical University of Munich, 85748 Munich, Germany
Rudi Zagst: Department of Mathematics, Technical University of Munich, 85748 Munich, Germany

Mathematics, 2025, vol. 13, issue 16, 1-36

Abstract: Investors face the challenge of how to incorporate economic and financial forecasts into their investment strategy, especially in times of financial crisis. To model this situation, we consider a financial market consisting of a risk-free asset with a constant interest rate as well as a risky asset whose drift and volatility is influenced by a stochastic process indicating the probability of potential market downturns. We use a dynamic portfolio optimization approach in continuous time to maximize the expected utility of terminal wealth and solve the corresponding HJB equations for the general class of HARA utility functions. The resulting optimal strategy can be obtained in closed form. It corresponds to a CPPI strategy with a stochastic multiplier that depends on the information from the crisis indicator. In addition to the theoretical results, a performance analysis of the derived strategy is implemented. The specified model is fitted using historic market data and the performance is compared to the optimal portfolio strategy obtained in a Black–Scholes framework without crisis information. The new strategy clearly dominates the BS-based CPPI strategy with respect to the Sharpe Ratio and Adjusted Sharpe Ratio.

Keywords: dynamic portfolio optimization; crisis indicator; CPPI (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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