Description |
1 online resource (x xiii, 607 pages) : illustrations |
Series |
Springer finance |
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Springer finance.
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Contents |
Front Matter; Static Monte Carlo; Dynamic Monte Carlo; Dynamic Programming for Stochastic Optimization; Finite Difference Methods; Numerical Solution of Linear Systems; Quadrature Methods; The Laplace Transform; Structuring Dependence using Copula Functions; Portfolio Selection: "Optimizing" an Error; Alpha, Beta and Beyond; Automatic Trading: Winning or Losing in a kBit; Estimating the Risk-Neutral Density; An "American" Monte Carlo; Fixing Volatile Volatility; An Average Problem; Quasi-Monte Carlo: An Asian Bet; Lookback Options: A Discrete Problem; Electrifying the Price of Power |
Summary |
Puts numerical methods into action for the purpose of solving concrete problems arising in quantitative finance. This book develops a toolkit including Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques |
Bibliography |
Includes bibliographical references (pages 573-597) and index |
Notes |
English |
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Print version record |
In |
Springer eBooks |
Subject |
Finance -- Mathematical models.
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Finance.
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finance.
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BUSINESS & ECONOMICS -- Finance.
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Finance -- Mathematical models.
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Finance -- Mathematical models
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Form |
Electronic book
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Author |
Roncoroni, Andrea.
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LC no. |
2007931341 |
ISBN |
9783540499596 |
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3540499598 |
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9783540223481 |
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3540223487 |
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