Statistics and Finance

An Introduction
 HC runder Rücken kaschiert

186,76 €*

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ISBN-13:
9780387202709
Veröffentl:
2004
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
30.03.2004
Seiten:
508
Autor:
David Ruppert
Gewicht:
922 g
Format:
241x160x33 mm
Serie:
Springer Texts in Statistics
Sprache:
Englisch
Beschreibung:

This textbook emphasizes the applications of statistics and probability to finance. Students are assumed to have had a prior course in statistics, but no background in finance or economics. The basics of probability and statistics are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book covers the classical methods of finance such as portfolio theory, CAPM, and the Black-Scholes formula, and it introduces the somewhat newer area of behavioral finance. Applications and use of MATLAB and SAS software are stressed.The book will serve as a text in courses aimed at advanced undergraduates and masters students in statistics, engineering, and applied mathematics as well as quantitatively oriented MBA students. Those in the finance industry wishing to know more statistics could also use it for self-study.
This textbook emphasizes the applications of statistics and probability to finance. The basics of probability and statistics are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book introduces the somewhat newer area of behavioral finance. It also covers the classical methods of finance such as portfolio theory, CAPM, and the Black-Scholes formula. Applications and use of MATLAB and SAS software are stressed. The book will serve as a text in courses aimed at advanced undergraduates and masters students in statistics, engineering, and applied mathematics as well as quantitatively oriented MBA students. Those in the finance industry wishing to know more statistics can use it for self-study. Students are assumed to have had a prior course in statistics, but no background in finance or economics.
Introduction.- Probability and Statistical Models.- Returns.- Time Series Models.- Portfolio Theory.- Regression.- The Capital Asset Pricing Model.- Options Pricing.- Fixed Income Securities.- Resampling.- Value-at-Risk.- GARCH models.- Nonparametric Regression and Splines.- Behavioral Finance.

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