Statistics for Business and Financial Economics, 3rd edition
is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics.
On the Springer page for the book, the solution manual, test bank and powerpoints are available for download.
Edition
Language
Place of publication
Target group
Edition type
Product notice
sewn/stitched
Cloth over boards
Illustrations
124 s/w Abbildungen, 189 farbige Abbildungen
XLVIII, 1206 p. 313 illus., 189 illus. in color.
Dimensions
Height: 244 mm
Width: 164 mm
Thickness: 66 mm
Weight
ISBN-13
978-1-4614-5896-8 (9781461458968)
DOI
10.1007/978-1-4614-5897-5
Schweitzer Classification
Cheng-Few Lee is a professor of Finance and Economics at the Rutgers University Business School. Professor Lee is the Editor of the Review of Quantitative Finance and Accounting (RQFA), and the Review of Pacific Basin Financial Markets and Policies. He is the Director of the Conference on Financial Economics and Accounting, and the Conference on Pacific Basin Business, Economics and Finance. He has published more than 170 articles in journals including the Journal of Finance, JFQA, Accounting Review, Journal of Accounting Research, Review of Economics and Statistics, and Management Science. Professor Lee has written six books on corporate finance, portfolio management, business statistics and urban econometrics.
Introduction and Descriptive Statistics.- Probability and Important Distributions.- Statistical Inferences Based on Samples.- Regression and Correlation: Relating Two or More Variables.- Selected Topics in Statistical Analysis for Business and Economics.- Appendices.- Index.
