Optimal switching decisions under stochastic volatility with fast mean reversion

•Study optimal switching problems under “fast” mean-reverting stochastic volatility.•Derive closed-form approximations of the full problem via homogenization theory.•Apply our general solution to well-known switching problems and volatility models.•Proposed method is of interest to applied problems...

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Published in:European journal of operational research Vol. 251; no. 1; pp. 148 - 157
Main Authors: Tsekrekos, Andrianos E., Yannacopoulos, Athanasios N.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 16-05-2016
Elsevier Sequoia S.A
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Abstract •Study optimal switching problems under “fast” mean-reverting stochastic volatility.•Derive closed-form approximations of the full problem via homogenization theory.•Apply our general solution to well-known switching problems and volatility models.•Proposed method is of interest to applied problems involving switching flexibility. We study infinite-horizon, optimal switching problems for underlying processes that exhibiting “fast” mean-reverting stochastic volatility. We obtain closed-form analytic approximations of the solution for the resulting quasi-variational inequalities, that provide quantitative and qualitative results for the effects of multi-scale variability of the underlying process on the optimal switching rule. The proposed methodology is applicable to a number of operations research problems involving switching flexibility.
AbstractList •Study optimal switching problems under “fast” mean-reverting stochastic volatility.•Derive closed-form approximations of the full problem via homogenization theory.•Apply our general solution to well-known switching problems and volatility models.•Proposed method is of interest to applied problems involving switching flexibility. We study infinite-horizon, optimal switching problems for underlying processes that exhibiting “fast” mean-reverting stochastic volatility. We obtain closed-form analytic approximations of the solution for the resulting quasi-variational inequalities, that provide quantitative and qualitative results for the effects of multi-scale variability of the underlying process on the optimal switching rule. The proposed methodology is applicable to a number of operations research problems involving switching flexibility.
We study infinite-horizon, optimal switching problems for underlying processes that exhibiting "fast" mean-reverting stochastic volatility. We obtain closed-form analytic approximations of the solution for the resulting quasi-variational inequalities, that provide quantitative and qualitative results for the effects of multi-scale variability of the underlying process on the optimal switching rule. The proposed methodology is applicable to a number of operations research problems involving switching flexibility.
Author Yannacopoulos, Athanasios N.
Tsekrekos, Andrianos E.
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  givenname: Athanasios N.
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Keywords Optimal switching problems
Multi-scale stochastic volatility
Hysteresis
Quasi-variational inequalities
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Snippet •Study optimal switching problems under “fast” mean-reverting stochastic volatility.•Derive closed-form approximations of the full problem via homogenization...
We study infinite-horizon, optimal switching problems for underlying processes that exhibiting "fast" mean-reverting stochastic volatility. We obtain...
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SubjectTerms Approximation
Decision analysis
Flexibility
Hysteresis
Inequalities
Mathematical analysis
Mathematical problems
Multi-scale stochastic volatility
Operations research
Optimal switching problems
Optimization
Quasi-variational inequalities
Stochastic models
Stochasticity
Studies
Switching
Volatility
Title Optimal switching decisions under stochastic volatility with fast mean reversion
URI https://dx.doi.org/10.1016/j.ejor.2015.12.011
https://www.proquest.com/docview/1764707843
https://search.proquest.com/docview/1800464787
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