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© 2019

Financial Econometrics, Mathematics and Statistics

Theory, Method and Application

Textbook

Table of contents

  1. Front Matter
    Pages i-xx
  2. Cheng-Few Lee, Hong-Yi Chen, John Lee
    Pages 1-15
  3. Regression and Financial Econometrics

    1. Front Matter
      Pages 17-17
    2. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 19-53
    3. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 55-113
    4. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 115-124
    5. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 125-157
    6. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 159-179
    7. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 181-210
    8. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 211-241
    9. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 243-275
  4. Time-Series Analysis and Its Applications

    1. Front Matter
      Pages 277-277
    2. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 279-316
    3. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 317-354
  5. Statistical Distributions, Option Pricing Model and Risk Management

    1. Front Matter
      Pages 355-355
    2. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 357-378
    3. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 393-417
    4. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 419-438
    5. Cheng-Few Lee, Hong-Yi Chen, John Lee
      Pages 439-457

About this book

Introduction

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics illustrates tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text offers insight into the following models and topics, among others:

•             Multiple linear regression

•             Time-series analysis

•             Option pricing models

•             Risk management

•             Heteroskedasticity

•             Itô’s Calculus

•             Spurious regression

•             Errors-in-variable

Written by leading academics in the quantitative finance field, this book allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. It will appeal to a less-served market of advanced students and scholars in finance, economics, accounting, and statistics.

Keywords

Financial Econometrics and Statistics Textbook Panel Data Analysis Simultaneous Equation Models Single Equation Regression Methods Statistical Distributions Time Series Analysis option pricing model multiple regression capital asset pricing model Monte Carlo simulations maximum likelihood method heteroscedasticity asset allocation autoregressive forecasting model Holt-Winters forecasting model error component model credit risk dummy variables ARCH method LISREAL method

Authors and affiliations

  1. 1.Department of Finance and Economics Rutgers Business SchoolRutgers UniversityPiscatawayUSA
  2. 2.Department of FinanceNational Chengchi UniversityTaipeiTaiwan
  3. 3.Center for PBBEF ResearchMorris PlainsUSA

About the authors

Cheng-Few Lee is a Distinguished Professor of Finance at Rutgers Business School, where he once served as  chairperson of the Department. He has maintained academic and consulting ties in Taiwan, Hong Kong, China and the United States for the past three decades and  has been a consultant to many prominent groups including the American Insurance Group, the World Bank, and the United Nations.  Lee founded the Review of Quantitative Finance and Accounting in 1990 and the Review of Pacific Basin Financial Markets and Policies in 1998, and continues to serve as managing editor for both journals. He was also a co-editor of the Financial Review (1985–1991) and the Quarterly Review of Economics and Business (1987–1989).  Having published more than 200 articles in more than twenty different journals in finance, accounting, economics, statistics, and management,  Lee has been ranked the most published finance professor worldwide during 1953–2008. 

 

Hong-Yi Chen is Assistant Professor at the NCCU College of Commerce. His research expertise is in investments, asset pricing, and corporate finance. He has co-authored several papers in journals such as  Springer's Review of Quantitative Finance and Accounting, as well as Elsevier's Journal of Corporate Finance.

John C. Lee is Director of the Center for PBBEF Research. A Microsoft Certified Professional in Microsoft Visual Basic and Microsoft Excel VBA, he has a Bachelors and Masters degree in accounting from the University of Illinois at Urbana-Champaign. Lee  has worked over 20 years in both the business and technical fields as an accountant, auditor, systems analyst, as well as a business software developer. Formerly, the Senior Technology Officer at the Chase Manhattan Bank and Assistant Vice President at Merrill Lynch, he is also the author of the book on how to use MINITAB and Microsoft Excel to do statistical analysis. In addition, he also published Financial Analysis, Planning and Forecasting with Cheng-Few Lee and Alice Lee. 


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