In this paper, we generalize the recently developed dimension reduction technique of Vecer for pricing arithmetic average Asian options. The assumption of constant volatility in Vecer's method will be relaxed to the case that volatility is randomly fluctuating and is driven by a mean-reverting (or ergodic) process. We then use the fast mean-reverting stochastic volatility asymptotic analysis introduced by Fouque, Papanicolaou and Sircar to derive an approximation to the option price which takes into account the skew of the implied volatility surface. This approximation is obtained by solving a pair of one-dimensional partial differential equations.
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Department of Applied Mathematics, Delhi Technological University, Delhi,110042, IndiaDepartment of Applied Mathematics, Delhi Technological University, Delhi,110042, India
Malhotra, Gifty
Srivastava, R.
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Department of Applied Mathematics, Delhi Technological University, Delhi,110042, IndiaDepartment of Applied Mathematics, Delhi Technological University, Delhi,110042, India
Srivastava, R.
Taneja, H.C.
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Department of Applied Mathematics, Delhi Technological University, Delhi,110042, IndiaDepartment of Applied Mathematics, Delhi Technological University, Delhi,110042, India
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South China Univ Technol, Sch Business Adm, Guangzhou 510640, Guangdong, Peoples R ChinaSouth China Univ Technol, Sch Business Adm, Guangzhou 510640, Guangdong, Peoples R China
Li, Pengshi
Yang, Jianhui
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South China Univ Technol, Sch Business Adm, Guangzhou 510640, Guangdong, Peoples R ChinaSouth China Univ Technol, Sch Business Adm, Guangzhou 510640, Guangdong, Peoples R China
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Univ Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, ItalyUniv Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, Italy
Corsaro, Stefania
Kyriakou, Loannis
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City Univ London, Cass Business Sch, 106 Bunhill Row, London EC1Y 8TZ, EnglandUniv Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, Italy
Kyriakou, Loannis
Marazzina, Daniele
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Politecn Milan, Dipartimento Matemat, Via Bonardi 9, I-20133 Milan, ItalyUniv Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, Italy
Marazzina, Daniele
Marino, Zelda
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Univ Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, ItalyUniv Napoli Parthenope, Dipartimento Studi Aziendali & Quantitativi, Via Gen Parisi 13, I-80132 Naples, Italy