Optimal Entry and Exit Strategy under Uncertainty with Stochastic Volatility ()
ABSTRACT
Motivated by previous papers with conventional models of Geometric Brownian Motion (Hereafter GBM) or Mean-Reverting (Hereafter MR), we discuss the classical investment timing problem in this paper by assuming the output price follows Heston-GBM process. That is, constant volatility in the classical GBM or MR framework is replaced by stochastic volatility in Heston-GBM model. We first derive the asymptotic solution for the investment timing problem. Then the impacts of stochastic volatility on trigger prices and the range of inaction are demonstrated by numerical simulation. Lastly, we examine the analytical properties of trigger prices and the range of inaction quantitatively as well as qualitatively.
Share and Cite:
Huang, J. (2020) Optimal Entry and Exit Strategy under Uncertainty with Stochastic Volatility.
Journal of Mathematical Finance,
10, 157-172. doi:
10.4236/jmf.2020.101011.
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