Modeling and Pricing of Covariance and Correlation Swaps for Financial Markets with Semi-Markov Volatilities
Giovanni Salvi, Anatoliy V. Swishchuk

TL;DR
This paper develops a semi-Markov volatility model for financial markets, deriving closed-form prices for volatility, covariance, and correlation swaps, with numerical evaluations demonstrating its practical application.
Contribution
It introduces a novel semi-Markov volatility framework and provides closed-form pricing formulas for covariance and correlation swaps in markets with two risky assets.
Findings
Closed-form pricing formulas for volatility, covariance, and correlation swaps.
Numerical evaluations illustrating the model's application.
Enhanced understanding of swap pricing in semi-Markov market models.
Abstract
In this paper, we model financial markets with semi-Markov volatilities and price covarinace and correlation swaps for this markets. Numerical evaluations of vari- nace, volatility, covarinace and correlations swaps with semi-Markov volatility are presented as well. The novelty of the paper lies in pricing of volatility swaps in closed form, and pricing of covariance and correlation swaps in a market with two risky assets.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management
