Statistics and Finance: An Introduction (Springer Texts in Statistics)
| Author | : | |
| Rating | : | 4.74 (515 Votes) |
| Asin | : | 0387202706 |
| Format Type | : | paperback |
| Number of Pages | : | 474 Pages |
| Publish Date | : | 2017-04-02 |
| Language | : | English |
DESCRIPTION:
"Excellent Book" according to Marcel Blais. This is an excellent introduction to the basics of quantitative finance with a focus on statistics. I use this book for my mathematical finance course that is geared towards the more practical topics that students graduating from our masters programs need to know in order to be competitive in the finance work force.This book is extremely useful for quantitative both finance masters students and upper-level undergraduates. Most introductory mathematical finance texts tend to focus on option pricing, which although extremely important, isn't necessarily. "Good, I like it" according to RV. The book illustrate essential knowledge on the statistics used in the finance area. Development of explanation help readers develop their basic understanding on quantitative finance very well.. LOV said great book, especially for statisticians. This book is an ambitious and unique combination of stat and finance - and because of the very close relationship of the two areas, this book is excellent and useful for 1) statisticians who want to learn financial modeling; and "great book, especially for statisticians" according to LOV. This book is an ambitious and unique combination of stat and finance - and because of the very close relationship of the two areas, this book is excellent and useful for 1) statisticians who want to learn financial modeling; and 2) financial analysts who need to understand the underlying stat concepts at a relatively advanced level. It is generally well-written and the author provides clear explanation on many finance theories.. ) financial analysts who need to understand the underlying stat concepts at a relatively advanced level. It is generally well-written and the author provides clear explanation on many finance theories.
David Ruppert is the Andrew Schultz, Jr. Professor of Engineering, School of Operations Research and Industrial Engineering, Cornell University. He received a PhD in Statistics from Michigan State University in 1977 and taught for ten years in the Department of Statistics at the University of North Carolina at Chapel Hill. He is a Fellow of the American Statistical Association and the Institute of Mathematica
… Students having gained confidence with the material of this book can also be expected to be ready for advanced topics … ." (F. 1049, 2004)"The text book emphazises the applications of statistics and probability to finance. It will be useful to the practicing financial engineer. Short bibliographic notes at the end of each chapter are extremely useful." (Arup Bose, Sankhya, Vol. David Ruppert knows how to hold the interest of his readers. 47, No. 67 (1), 2005)"The book ‘Statistics and Finance&rsquo
Those in the finance industry can use it for self-study.. The book will serve as a text in courses aimed at advanced undergraduates and masters students. Applications and use of MATLAB and SAS software are stressed. The book covers the classical methods of finance and it introduces the newer area of behavioral finance. The basics of these subjects 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. This book emphasizes the applications of statistics and probability to finance