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Quantitative Methods for Finance with Simulations II - Geon Ho Choe

Quantitative Methods for Finance with Simulations II

Numerical Methods and Monte Carlo Integration

(Autor)

Buch | Hardcover
2026
Springer International Publishing (Verlag)
978-3-032-12330-5 (ISBN)
CHF 112,30 inkl. MwSt
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This self-contained book is the second of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods.
 
This volume covers numerical methods, including numerical solutions of ordinary and partial differential equations such as the Black Scholes Merton equation, as well as stochastic differential equations, Monte Carlo methods, estimation of implied volatility, stochastic volatility models, and Fourier transform methods for option pricing. The numerical methods are implemented in both Matlab and Python. Background in mathematics is included in the appendices and the level of familiarity with computer programming is kept to a minimum.

Geon Ho Choe is Emeritus Professor at the Korea Advanced Institute of Science and Technology (KAIST). He obtained his PhD in Mathematics at the University of California, Berkeley, in 1987. In a career spanning several decades, he supervised 21 PhD theses. He is the author of the books Computational Ergodic Theory (Springer, 2005) and Stochastic Analysis for Finance with Simulations (Springer, 2016). He received the 2022 Korean Mathematical Society Education Award.

Numerical Methods for Ordinary Differential Equations.- The Second Order Linear Partial Differential
Equations.- Numerical Methods for Elliptic Equations.- Numerical Methods for Parabolic Equations.- Numerical Methods for Hyperbolic Equations.- Numerical Methods for the Black Scholes Merton Equation.- Numerical Methods for Pricing American Put Options.- Numerical Methods for Stochastic Differential
Equations.- Multidimensional Brownian Motion.- Multidimensional Itô Calculus.- The Multi-asset Black Scholes Merton Equation.- Random Numbers.- The Monte Carlo Method.- The Monte Carlo Method for Option Pricing.- Historical Volatility.- Numerical Methods for Finding Zeros of a Function.- Numerical Computation of Implied Volatility.- Recursive Methods for Pricing of Asian Options.- A Control Variate Method Based On Conditioning.- Stochastic Volatility.- Heston s Stochastic Volatility Model.- Option Pricing Formula Under the Heston Model.- Numerical Methods for the Heston Formula.- Fourier Transforms for Stochastic Processes.- Option Pricing by the Fourier Transform.

Erscheint lt. Verlag 4.3.2026
Reihe/Serie Springer Texts in Business and Economics
Zusatzinfo Approx. 565 p. 250 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Schlagworte Arithmetic average Asian options • Black-Scholes partial differential equation • Estimating volatility • Fourier transform for option pricing • Heston model • Monte Carlo integration • numerical methods for option pricing • Numerical solution of partial differential equation • Option pricing
ISBN-10 3-032-12330-5 / 3032123305
ISBN-13 978-3-032-12330-5 / 9783032123305
Zustand Neuware
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