Applied Quantitative Finance by Wolfgang Hardle, Torsten Kleinow, Gerhard Staml
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This book is designed for students and researchers who want to develop professional skill in modern quantitative applications in finance. The Center for Applied Statistics and Economics (CASE) course at Humboldt-Universität zu Berlin that forms the basis for this book is offered to interested students who have had some experience with probability, statistics and software applications but have not had advanced courses in mathematical finance. Although the course assumes only a modest background it moves quickly between different fields of applications and in the end, the reader can expect to have theoretical and computational tools that are deep enough and rich enough to be relied on throughout future professional careers.
The text is readable for the graduate student in financial engineering as well as for the inexperienced newcomer to quantitative finance who wants to get a grip on modern statistical tools in financial data analysis. The experienced reader with a bright knowledge of mathematical finance will probably skip some sections but will hopefully enjoy the various computational tools of the presented techniques. A graduate student might think that some of the econometric techniques are well known. The mathematics of risk management and volatility dynamics will certainly introduce him into the rich realm of quantitative financial data analysis.
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