谢谢大家! 终于有点银子可以买书了。现在贴出内容介绍：
ANALYSIS OF FINANCIAL DATA
by
Gary Koop
University of Strathclyde
Copyright © 2006 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester,
ISBN-13 978-0-470-01321-2
ISBN-10 0-470-01321-4
Preface:
This book aims to teach financial econometrics to students whose primary interest is
not in econometrics. These are the students who simply want to apply financial econometric
techniques sensibly in the context of real-world empirical problems. This book
is aimed largely at undergraduates, for whom it can serve either as a stand-alone course
in applied data analysis or as an accessible alternative to standard statistical or econometric
textbooks. However, students in graduate economics and MBA programs
requiring a crash-course in the basics of practical financial econometrics will also
benefit from the simplicity of the book and its intuitive bent.
This book grew out of a previous book I wrote called Analysis of Economic Data.
When writing my previous book I attempted to hold to the following principles:
1. It must cover most of the tools and models used in modern econometric research
(e.g. correlation, regression and extensions for time series methods).
2. It must be largely non-mathematical, relying on verbal and graphical intuition.
3. It must contain extensive use of real data examples and involve students in handson
computer work.
4. It must be short. After all, students in most degree programs must master a wide
range of material. Students rarely have the time or the inclination to study statistics
in depth.
In Analysis of Financial Data I have attempted to follow these principles as well
but change the material so that it is of more interest for a financial audience. It
aims to teach students reasonably sophisticated statistical tools, using simple nonmathematical
intuition and practical examples. Its unifying themes are the related concepts
of regression and correlation. These simple concepts are relatively easy to
motivate using verbal and graphical intuition and underlie many of the sophisticated
models (e.g. vector autoregressions and models of financial volatility such as ARCH and GARCH) and techniques (e.g. cointegration and unit root tests) in financial
research today. If a student understands the concepts of correlation and regression
well, then she can understand and apply the techniques used in advanced financial
econometrics and statistics.
This book has been designed for use in conjunction with a computer. I am convinced
that practical hands-on computer experience, supplemented by formal lectures,
is the best way for students to learn practical data analysis skills. Extensive
problem sets are accompanied by different data sets in order to encourage students
to work as much as possible with real-world data. Every theoretical point in the book
is illustrated with practical financial examples that the student can replicate and extend
using the computer. It is my strong belief that every hour a student spends in front
of the computer is worth several hours spent in a lecture.
This book has been designed to be accessible to a variety of students, and thus,
contains minimal mathematical content. Aside from some supplementary material in
appendices, it assumes no mathematics beyond the pre-university level. For students
unfamiliar with these basics (e.g. the equation of a straight line, the summation operator,
logarithms), appendices at the end of chapters provide sufficient background.
I would like to thank my students and colleagues at the Universities of Edinburgh,
Glasgow and Leicester for their comments and reactions to the lectures that formed
the foundation of this book. Many reviewers also offered numerous helpful comments.
Most of these were anonymous, but Ian Marsh, Denise Young, Craig Heinicke,
Kai Li and Hiroyuki Kawakatsu offered numerous invaluable suggestions that were
incorporated in the book. I am grateful, in particular, to Steve Hardman at John Wiley
for the enthusiasm and expert editorial advice he gave throughout this project. I would
also like to express my deepest gratitude to my wife, Lise, for the support and encouragement
she provided while this book was in preparation.
发帖
雷达卡
264217.rar
(1.14 MB, 需要: 2 个论坛币)
加好友,备注cda
京公网安备 11010802022788号
论坛法律顾问：王进律师
知识产权保护声明
免责及隐私声明
给点内容
