2007, ISBN: 9781846286964

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim… Plus…

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as 'sophisticated' models. 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, such as exchange and interest rates. This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives. TOC:Part I: Financial Markets and Financial Time Series.- Introduction. Statistical Properties of Financial Market Data. Functioning of Financial Markets and Theoretical Models for Returns. Part II: Econometric Modeling of Asset Returns.- Modeling Volatility. Modeling Higher Moments. Modeling Correlation. Extreme Value Theory. Part III: Applications of Non-Gaussian Econometrics.- Risk Management and VaR. Portfolio Allocation. Part IV: Option Pricing with Non-Gaussian Returns.-Fundamentals of Option Pricing. Non-Structural Option Pricing. Structural Option Pricing. Part V: Appendices on Option Pricing Mathematics.- Brownian Motion and Stochastic Calculus. Martingale and Changing Measure. Characteristic Functions and Fourier Transforms. Jump Processes.- References.- Index. eBook Eric Jondeau#Michael Rockinger#Ser-Huang Poon PDF, Springer, 05.04.2007, Springer, 2007<

2007, ISBN: 9781846286964

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim… Plus…

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as 'sophisticated' models. 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, such as exchange and interest rates. This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives. TOC:Part I: Financial Markets and Financial Time Series.- Introduction. Statistical Properties of Financial Market Data. Functioning of Financial Markets and Theoretical Models for Returns. Part II: Econometric Modeling of Asset Returns.- Modeling Volatility. Modeling Higher Moments. Modeling Correlation. Extreme Value Theory. Part III: Applications of Non-Gaussian Econometrics.- Risk Management and VaR. Portfolio Allocation. Part IV: Option Pricing with Non-Gaussian Returns.-Fundamentals of Option Pricing. Non-Structural Option Pricing. Structural Option Pricing. Part V: Appendices on Option Pricing Mathematics.- Brownian Motion and Stochastic Calculus. Martingale and Changing Measure. Characteristic Functions and Fourier Transforms. Jump Processes.- References.- Index. eBook Ser-Huang Poon#Eric Jondeau#Michael Rockinger 05.04.2007, Springer, Springer<

ISBN: 9781846286964

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim… Plus…

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models. 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, such as exchange and interest rates. This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives. Books > Mathematics eBook, Springer Shop<

ISBN: 9781846286964

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim… Plus…

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models. 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, such as exchange and interest rates. This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives., Springer<

2007, ISBN: 9781846286964

eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2007