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Statistics of Financial Markets : An Introduction / by Jürgen Franke, Wolfgang Karl Härdle, Christian Matthias Hafner.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Author/Creator:
Franke, Jürgen, Author.
Härdle, Wolfgang Karl., Author.
Hafner, Christian Matthias., Author.
Series:
Universitext, 0172-5939
Language:
English
Subjects (All):
Statistics.
Economics, Mathematical.
Finance.
Statistics for Business, Management, Economics, Finance, Insurance.
Quantitative Finance.
Finance, general.
Local Subjects:
Statistics for Business, Management, Economics, Finance, Insurance.
Quantitative Finance.
Finance, general.
Physical Description:
1 online resource (XIX, 555 p. 163 illus., 114 illus. in color.)
Edition:
4th ed. 2015.
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Language Note:
English
Summary:
Now in its fourth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods of evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to given problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. For this new edition the book has been updated and extensively revised and now includes several new aspects, e.g. new chapters on long memory models, copulae and CDO valuation. Practical exercises with solutions have also been added. Both R and Matlab Code, together with the data, can be downloaded from the book’s product page and www.quantlet.de.
Contents:
Part I Option Pricing: Derivatives
Introduction 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
Interest Rates and Interest Rate Derivatives
Part II Statistical Models of Financial Time Series: Introduction – Definitions and Concepts
ARIMA Time Series Models
Time Series with Stochastic Volatility
Long Memory Time Series
Non-Parametric and Flexible Time Series Estimators
Part III Selected Financial Applications: 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 and Credit Derivatives
Appendix: Integration Theory
Portfolio Strategies.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Description based on publisher supplied metadata and other sources.
ISBN:
3-642-54539-4
OCLC:
903245148

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