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Portfolio Optimization Using Regime-Switching Stochastic Interest Rate and Stochastic Volatility Models

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Modeling, Stochastic Control, Optimization, and Applications

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 164))

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Abstract

This paper considers the continuous-time portfolio optimization problem with both stochastic interest rate and stochastic volatility in regime-switching models, where a regime-switching Vasicek model is assumed for the interest rate and a regime-switching Heston model is assumed for the stock price.We use the dynamic programming approach to solve this stochastic optimal control problem. Under suitable assumptions, we prove a verification theorem.We then derive a closed-form solution of the associated Hamilton-Jacobi-Bellman (HJB) equation for a power utility function and a special choice of some model parameters. We prove the optimality of the closed-form solution by verifying the required conditions as stated in the verification theorem. We present a numerical example to show the optimal portfolio policies and value functions in different regimes.

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Correspondence to R. H. Liu .

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Liu, R.H., Ren, D. (2019). Portfolio Optimization Using Regime-Switching Stochastic Interest Rate and Stochastic Volatility Models. In: Yin, G., Zhang, Q. (eds) Modeling, Stochastic Control, Optimization, and Applications. The IMA Volumes in Mathematics and its Applications, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-030-25498-8_17

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