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
    • $49.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2016
May 31
LANGUAGE
EN
English
LENGTH
143
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
2.6
MB
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
2013
Random Motions in Markov and Semi-Markov Random Environments 2 Random Motions in Markov and Semi-Markov Random Environments 2
2021
Pricing Models of Volatility Products and Exotic Variance Derivatives Pricing Models of Volatility Products and Exotic Variance Derivatives
2022
Advanced Modelling in Mathematical Finance Advanced Modelling in Mathematical Finance
2016
Aspects of Mathematical Finance Aspects of Mathematical Finance
2008
Applied Quantitative Finance Applied Quantitative Finance
2008
Random Dynamical Systems in Finance Random Dynamical Systems in Finance
2016
Discrete-Time Semi-Markov Random Evolutions and Their Applications Discrete-Time Semi-Markov Random Evolutions and Their Applications
2023
Random Motions in Markov and Semi-Markov Random Environments 2 Random Motions in Markov and Semi-Markov Random Environments 2
2021
Random Motions in Markov and Semi-Markov Random Environments 1 Random Motions in Markov and Semi-Markov Random Environments 1
2020
Inhomogeneous Random Evolutions and Their Applications Inhomogeneous Random Evolutions and Their Applications
2019
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
2013
Twisted Isospectrality, Homological Wideness, and Isometry Twisted Isospectrality, Homological Wideness, and Isometry
2023
Deep Learning for Fluid Simulation and Animation Deep Learning for Fluid Simulation and Animation
2023
Brakke's Mean Curvature Flow Brakke's Mean Curvature Flow
2019
Geodesic Convexity in Graphs Geodesic Convexity in Graphs
2013
Continuous Average Control of Piecewise Deterministic Markov Processes Continuous Average Control of Piecewise Deterministic Markov Processes
2013
Homogenisation of Laminated Metamaterials and the Inner Spectrum Homogenisation of Laminated Metamaterials and the Inner Spectrum
2025