Statistics of Financial Markets: An Introduction

Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic.

For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation.

Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.

“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”

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Statistics of Financial Markets: An Introduction

Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic.

For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation.

Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.

“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”

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Statistics of Financial Markets: An Introduction

Statistics of Financial Markets: An Introduction

Statistics of Financial Markets: An Introduction

Statistics of Financial Markets: An Introduction

eBook4th ed. 2015 (4th ed. 2015)

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Overview

Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic.

For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation.

Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.

“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”


Product Details

ISBN-13: 9783642545399
Publisher: Springer-Verlag New York, LLC
Publication date: 02/02/2015
Series: Universitext
Sold by: Barnes & Noble
Format: eBook
File size: 10 MB

About the Author

Jürgen Franke is a professor of applied mathematical statistics at the University of Kaiserslautern, member of the graduate school ‘Mathematics as a Key Technologÿ' and since 2000 he has been an advisor to the Financial Mathematics Group of the Fraunhofer Institute for Industrial Mathematics, Kaiserslautern. His research focuses on nonlinear time series and nonparametric statistics with applications in financial time series and risk analysis.

Wolfgang Karl Härdle is the Ladislaus von Bortkievicz Professor of Statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. – the Centre for Applied Statistics and Economics and director of the CRC649 „Economic Risk“ and also oft the IRTG 1792 „highdimensional nonstationary time series“. He teaches quantitative finance and semiparametric statistical methods.  His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University.

Christian Matthias Hafner is a professor of econometrics at the Université Catholique de Louvain and President of the Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA). His work is mainly concerned with applied non- and semiparametric statistics, time series analysis, volatility models, and financial econometrics.

Table of Contents

Option Pricing.- Statistical Models of Financial Time Series.- Selected Financial Applications.- Technical Appendix.- Appendix.- Frequently Used Notations.- Index.

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