Change of Time Methods in Quantitative Finance Change of Time Methods in Quantitative Finance
SpringerBriefs in Mathematics

Change of Time Methods in Quantitative Finance

    • ‏49٫99 US$
    • ‏49٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٣١ مايو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities
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Random Motions in Markov and Semi-Markov Random Environments 2 Random Motions in Markov and Semi-Markov Random Environments 2
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Pricing Models of Volatility Products and Exotic Variance Derivatives Pricing Models of Volatility Products and Exotic Variance Derivatives
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Advanced Modelling in Mathematical Finance Advanced Modelling in Mathematical Finance
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Aspects of Mathematical Finance Aspects of Mathematical Finance
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Applied Quantitative Finance Applied Quantitative Finance
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Random Dynamical Systems in Finance Random Dynamical Systems in Finance
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Discrete-Time Semi-Markov Random Evolutions and Their Applications Discrete-Time Semi-Markov Random Evolutions and Their Applications
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Random Motions in Markov and Semi-Markov Random Environments 2 Random Motions in Markov and Semi-Markov Random Environments 2
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Random Motions in Markov and Semi-Markov Random Environments 1 Random Motions in Markov and Semi-Markov Random Environments 1
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Inhomogeneous Random Evolutions and Their Applications Inhomogeneous Random Evolutions and Their Applications
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Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities
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Twisted Isospectrality, Homological Wideness, and Isometry Twisted Isospectrality, Homological Wideness, and Isometry
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Deep Learning for Fluid Simulation and Animation Deep Learning for Fluid Simulation and Animation
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Brakke's Mean Curvature Flow Brakke's Mean Curvature Flow
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Geodesic Convexity in Graphs Geodesic Convexity in Graphs
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Continuous Average Control of Piecewise Deterministic Markov Processes Continuous Average Control of Piecewise Deterministic Markov Processes
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Homogenisation of Laminated Metamaterials and the Inner Spectrum Homogenisation of Laminated Metamaterials and the Inner Spectrum
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