2021
DOI: 10.1016/j.insmatheco.2021.02.007
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Option pricing in regime-switching frameworks with the Extended Girsanov Principle

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Cited by 5 publications
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“…Monte-Carlo simulations that numerically analyse the pricing of options in this regime have been examined extensively by [18] [19] [20]. Regime switching models that account for markets that may switch from time to time between a stable low-volatility state and an unstable high-volatility regime have been proposed by [21] and further examined by [22] [23] [24] [25]. The class of hyperbolic distributions that capture empirical data following pure jump distributions and characterized by infinitely divisible fat-tails have been introduced in [26] [27].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Monte-Carlo simulations that numerically analyse the pricing of options in this regime have been examined extensively by [18] [19] [20]. Regime switching models that account for markets that may switch from time to time between a stable low-volatility state and an unstable high-volatility regime have been proposed by [21] and further examined by [22] [23] [24] [25]. The class of hyperbolic distributions that capture empirical data following pure jump distributions and characterized by infinitely divisible fat-tails have been introduced in [26] [27].…”
Section: Literature Reviewmentioning
confidence: 99%