Statistics of Financial Markets / Universitext (PDF)
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Practice makes perfect. Therefore the best method of mastering models is working with them. In this book we present a collection of exercises and solutions which can be helpful in the comprehension of Statistics of Financial Markets. The exercises illustrate the theory by discussing practical examples in detail. We provide computational solutions for the problems, which are all calculated using R and Matlab. The corresponding Quantlets - a name we give to these program codes - are provided in this book. They follow the name scheme SFSxyz123 and can be downloaded from the Springer homepage. We have sought to strike a balance between theoretical presentation and practical challenges. The book is divided into three main parts, in which we discuss option pricing, time series analysis and advanced quantitative statistical techniques in finance.
Wolfgang K. Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of CASE - the Center for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, mulitvariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University.
Dr. Brenda López Cabrera is a researcher at C.A.S.E. - Centre for Applied Statistics and Economics, Humboldt Universität zu Berlin. She teaches "Statistical Tools in Finance and Insurance" and "Advanced Methods in Quantitative Finance". Her research interests are in applications within the field of statistical analysis of options, insurance and energy. She concentrates on economic risk of natural hazards and focuses on Catastrophe Bonds, Weather and Energy Markets.
- Autoren: Szymon Borak , Wolfgang Karl Härdle , Brenda López-Cabrera
- 2010, 2010, 229 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642111343
- ISBN-13: 9783642111341
- Erscheinungsdatum: 21.06.2010
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- Dateiformat: PDF
- Grösse: 5.65 MB
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