
Financial Modeling Under Non-Gaussian Distributions by Eric Jondeau
The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.-
Stochastic Calculus for Finance I
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Stochastic Calculus for Finance II
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Interest Rate Models - Theory and Practice
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Financial Markets in Continuous Time
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Risk and Asset Allocation
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Stochastic Calculus of Variations in Mathematical Finance
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Modelling, Pricing, and Hedging Counterparty Credit Exposure
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Volterra Volatility Models
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Continuous-Time Asset Pricing Theory
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Term-Structure Models
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Option Prices as Probabilities
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Contract Theory in Continuous-Time Models
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Financial Modeling
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Visual Explorations in Finance
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Financial Modeling, Actuarial Valuation and Solvency in Insurance
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Analytically Tractable Stochastic Stock Price Models
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Applications of Fourier Transform to Smile Modeling
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Computational Methods for Quantitative Finance
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Markets with Transaction Costs
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Interest-Rate Management
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Financial Markets Theory
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Mathematical Methods for Financial Markets
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Mathematics of Financial Markets
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Irrational Exuberance Reconsidered
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Credit Risk Valuation
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Asset Pricing
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CreditRisk+ in the Banking Industry
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A Game Theory Analysis of Options
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Incomplete Information and Heterogeneous Beliefs in Continuous-time Finance
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Mathematical Finance - Bachelier Congress 2000
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Credit Risk: Modeling, Valuation and Hedging
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Empirical Techniques in Finance
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Efficient Methods for Valuing Interest Rate Derivatives
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Weak Convergence of Financial Markets
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Risk-Neutral Valuation
From the reviews:
"Financial Modeling Under Non-Gaussian Distributions … is thus very welcome as it provides an accessible and easy-to-understand treatment of a broad range of topics, including core material to more advanced techniques on the subject of capturing non-Gaussian properties in the distributions of asset returns… Financial Modeling Under Non-Gaussian Distributions is a very accessible textbook that covers a wide range of topics. … The authors define their target readers as specialized master and Ph.D. students, as well as financial industry practitioners." (Stephan Suess, Financial Markets and Portfolio Management, Vol. 22, 2008)
"This book is written for non-mathematicians who want to model financial market prices. ... It targets practioners in the financial industry. It is suitable for use as core text for students in empirical finance, financial econometrics and financial derivatives. It is useful for mathematician who want to know more about their mathematical tools are applied in finance." (Klaus Ehemann, Zentralblatt MATH, Vol. 1138 (16), 2008)
| SKU | Unavailable |
| ISBN 13 | 9781849965996 |
| ISBN 10 | 1849965994 |
| Title | Financial Modeling Under Non-Gaussian Distributions |
| Author | Eric Jondeau |
| Series | Springer Finance |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2010-10-21 |
| Number of pages | 541 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































