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Economics - Econometrics / Statistics | Statistics of Financial Markets - An Introduction

Statistics of Financial Markets

An Introduction

Series: Universitext

Franke, Jürgen, Härdle, Wolfgang Karl, Hafner, Christian Matthias

2nd ed. 2008, XXII, 505p.

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  • Ideal basis for lectures, seminars, and crash courses on statistical applications in finance
  • Interactive approach using statistical software

This is an essential text for anyone in the field of financial econometrics. Readers will find that, refreshingly, this text presents in a vivid yet concise style the necessary statistical and mathematical background for financial engineers. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic.

For the second edition the book has been updated and extensively revised. Several new topics have been included, such as a chapter on credit risk management.

From reviews of the first edition: “The material is well presented with a good balance between theoretical and applied aspects. … The book is an excellent demonstration of the power of stochastics … . The author’s goal is well achieved: this book can satisfy the needs of different groups of readers … . this book can, and I expect it will, be successfully used.” (Jordan Stoyanov, Journal of the Royal Statistical Society, Vol. 168 (4), 2005)

Content Level » Graduate

Keywords » Derivatives - Estimator - Financial Market - Financial Markets - Option Pricing - Options - Portfolio - Statistical Models - Stochastic Integrals - Stochastic Processes - Time series

Related subjects » Business, Economics & Finance - Econometrics / Statistics - Finance & Banking - Quantitative Finance

Table of contents 

Option Pricing.- Derivatives.- to Option Management.- Basic Concepts of Probability Theory.- Stochastic Processes in Discrete Time.- Stochastic Integrals and Differential Equations.- Black-Scholes Option Pricing Model.- Binomial Model for European Options.- American Options.- Exotic Options.- Models for the Interest Rate and Interest Rate Derivatives.- Statistical Models of Financial Time Series.- Introduction: Definitions and Concepts.- ARIMA Time Series Models.- Time Series with Stochastic Volatility.- Non-parametric Concepts for Financial Time Series.- Selected Financial Applications.- Pricing Options with Flexible Volatility Estimators.- Value at Risk and Backtesting.- Copulae and Value at Risk.- Statistics of Extreme Risks.- Neural Networks.- Volatility Risk of Option Portfolios.- Nonparametric Estimators for the Probability of Default.- Credit Risk Management.

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