We consider an asset whose risk-neutral dynamics are described by a general class of local-stochastic volatility models and derive a family of asymptotic expansions for European-style option prices and implied volatilities. Our implied volatility expansions are explicit; they do not require any special functions nor do they require numerical integration. To illustrate the accuracy and versatility of our method, we implement it under five different model dynamics: CEV local volatility, quadratic local volatility, Heston stochastic volatility, $3/2$ stochastic volatility, and SABR local-stochastic volatility.
Pricing options on illiquid assets using liquid market benchmarks: an application to energy markets
Enel Global Energy and Commodity Management(Enel全球能源与商品管理部);Dipartimento di Matematica, Università di Roma Tor Vergata(罗马托尔维加塔大学数学系);INdAM-GNAMPA, Research Unit at Tor Vergata(Tor Vergata INdAM-GNAMPA研究组);Dipartimento di Economia e Finanza, Università di Roma Tor Vergata(罗马托尔维加塔大学经济与金融系)
Analytic approximation for Bachelier option prices and applications
Department of Economics and Business, Universitat Pompeu Fabra and Barcelona School of Economics(经济与商业系,庞培法布拉大学及巴塞罗那经济学校);Departament de Matemàtica Econòmica, Financera i Actuarial, Universitat de Barcelona(经济、金融与精算数学系,巴塞罗那大学)
Machine learning for option pricing: an empirical investigation of network architectures
Delft Institute of Applied Mathematics, TU Delft(代尔夫特应用数学研究所,代尔夫特理工大学);Institute of Applied and Computational Mathematics, FORTH(应用与计算数学研究所,希腊国家科研院);Department of Mathematics, TU Munich(数学系,慕尼黑工业大学)
Analytic estimation of parameters of stochastic volatility diffusion models with exponential-affine characteristic function for currency option pricing