03366nam 22005055 450 991025407340332120251113195232.03-319-32408-X10.1007/978-3-319-32408-1(CKB)3710000000717748(EBL)4537039(DE-He213)978-3-319-32408-1(MiAaPQ)EBC4537039(PPN)194077861(EXLCZ)99371000000071774820160531d2016 u| 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierChange of Time Methods in Quantitative Finance /by Anatoliy Swishchuk1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (140 p.)SpringerBriefs in Mathematics,2191-8201Description based upon print version of record.3-319-32406-3 Includes bibliographical references at the end of each chapters and index.Introduction to the Change of Time Methods: History, Finance and Stochastic Volatility -- Change of Time Methods: Definitions and Theory -- Applications of the Change of Time Methods -- Change of Time Method (CTM) and Black-Scholes Formula -- CTM and Variance, Volatility, Covariance and Correlation Swaps for the Classical Heston Model -- CTM and the Delayed Heston Model: Pricing and Hedging of Variance and Volatility Swaps -- CTM and the Explicit Option Pricing Formula for a Mean-reverting Asset in Energy Markets -- CTM and Multi-Factor Levy Models for Pricing Financial and Energy Derivatives -- Epilogue.This book is devoted to the history of Change of Time Methods (CTM), the connections of CTM to stochastic volatilities and finance, fundamental aspects of the theory of CTM, basic concepts, and its properties. An emphasis is given on many applications of CTM in financial and energy markets, and the presented numerical examples are based on real data. The change of time method is applied to derive the well-known Black-Scholes formula for European call options, and to derive an explicit option pricing formula for a European call option for a mean-reverting model for commodity prices. Explicit formulas are also derived for variance and volatility swaps for financial markets with a stochastic volatility following a classical and delayed Heston model. The CTM is applied to price financial and energy derivatives for one-factor and multi-factor alpha-stable Levy-based models. Readers should have a basic knowledge of probability and statistics, and some familiarity with stochastic processes, such as Brownian motion, Levy process and martingale.SpringerBriefs in Mathematics,2191-8201Social sciencesMathematicsMathematics in Business, Economics and FinanceSocial sciencesMathematics.Mathematics in Business, Economics and Finance.650.01513Swishchuk Anatoliyauthttp://id.loc.gov/vocabulary/relators/aut755861MiAaPQMiAaPQMiAaPQBOOK9910254073403321Change of time methods in quantitative finance1523222UNINA