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Stochastic Simulation and Applications in Finance with Matlab Programs Book

Stochastic Simulation and Applications in Finance with Matlab Programs
Stochastic Simulation and Applications in Finance with Matlab Programs, <i>Stochastic Simulation and Applications in Finance with MATLAB Programs</i> explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina, Stochastic Simulation and Applications in Finance with Matlab Programs has a rating of 4 stars
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Stochastic Simulation and Applications in Finance with Matlab Programs, Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina, Stochastic Simulation and Applications in Finance with Matlab Programs
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  • Stochastic Simulation and Applications in Finance with Matlab Programs
  • Written by author Huu Tue Huynh
  • Published by Wiley, John & Sons, Incorporated, January 2009
  • Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina
  • “This book is a good companion to text books on theory, so if you want to get straight to the meat of implementing the classical quantitative finance models here's the answer.” —Paul Wilmott, wilmott.com “Thi
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Book Categories

Authors

1 Introduction to probability 1

2 Introduction to random variables 9

3 Random sequences 39

4 Introduction to computer simulation of random variables 47

5 Foundations of Monte Carlo simulations 67

6 Fundamentals of quasi Monte Carlo (QMC) simulations 91

7 Introduction to random processes 109

8 Solution of stochastic differential equations 123

9 General approach to the valuation of contingent claims 149

10 Pricing options using Monte Carlo simulations 169

11 Term structure of interest rates and interest rate derivatives 221

12 Credit risk and the valuation of corporate securities 247

13 Valuation of portfolios of financial guarantees 265

14 Risk management and value at risk (VaR) 283

15 Value at risk (VaR) and principal components analysis (PCA) 297

App. A Review of mathematics 315

App. B MATLAB functions 325

References and bibliography 327

Index 333


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Stochastic Simulation and Applications in Finance with Matlab Programs, <i>Stochastic Simulation and Applications in Finance with MATLAB Programs</i> explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina, Stochastic Simulation and Applications in Finance with Matlab Programs

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Stochastic Simulation and Applications in Finance with Matlab Programs, <i>Stochastic Simulation and Applications in Finance with MATLAB Programs</i> explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina, Stochastic Simulation and Applications in Finance with Matlab Programs

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Stochastic Simulation and Applications in Finance with Matlab Programs, <i>Stochastic Simulation and Applications in Finance with MATLAB Programs</i> explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in fina, Stochastic Simulation and Applications in Finance with Matlab Programs

Stochastic Simulation and Applications in Finance with Matlab Programs

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