Media Hedging Options in a Doubly Markov-Modulated Financial Market via Stochastic Flows

Hedging Options in a Doubly Markov-Modulated Financial Market via Stochastic Flows

uploaded August 25, 2021 Views: 52 Comments: 0 Favorite: 0 CPD
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Hedging is an important topic in insurance and finance. In this paper, the hedging of a European-style contingent claim is studied in a continuous-time doubly Markov-modulated financial market, where the interest rate of a bond is modulated by an observable, continuous-time, finite-state, Markov chain and the appreciation rate of a risky share is modulated by a second continuous-time, finite-state, hidden Markov chain. The first chain describes the evolution of credit ratings of the bond over time while the second chain models the evolution of the hidden state of an underlying economy over time. Stochastic flows of diffeomorphisms are used to derive some hedge quantities, or Greeks, for the claim. A mixed filter-based and regime-switching Black–Scholes partial differential equation is obtained governing the price of the claim. It will be shown that the delta hedge ratio process obtained from stochastic flows is a risk-minimizing, admissible mean-self-financing portfolio process. Both the first-order and second-order Greeks will be considered.

This paper is co-authored with Robert J. Elliott from Haskayne School of Business, University of Calgary and School of Business, University of South Australia. It has been published in International Journal of Theoretical and Applied Finance, Vol. 22, No. 08, 1950047 (2019).  

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Categories: BANKING / FINANCE
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