
Financial Valuation and Econometrics
Author(s): Kian Guan Lim (Author)
- Publisher: World Scientific Publishing Company
- Publication Date: June 18, 2026
- Language: English
- Print length: 692 pages
- ISBN-10: 9819826772
- ISBN-13: 9789819826773
Book Description
Editorial Reviews
Review
“The book provides excellent applications of some econometric techniques to important finance and economic problems. This is a useful text for the MS students in the quantitative finance programmes.”
Andrew H Chen, Distinguished Professor of Finance, Cox School of Business, Southern Methodist University, USA
“This book combines works on empirical and statistical data with concepts and methods in finance. Such a presentation, especially the ‘application chapters’, is refreshing and gives the student of quantitative finance a very good view of how theory and practice come together.”
Chong Chi Tat, University Professor, Department of Mathematics, National University of Singapore
“The book will be very useful for students of finance and financial engineering. The arguments are presented intuitively, then developed with mathematical rigor, and supported with excellent examples and problems — and they cover a wide range of applications in finance.”
Krishna Ramaswamy, Edward Hopkinson, Jr. Professor of Investment Banking, Wharton School, University of Pennsylvania, USA
“A really useful econometrics book written specifically for finance readers. I wish I had a copy years ago.”
Dr Tee Lim, Director, Barr Rosenberg Research Center, USA
“The approach of explaining quantitative theories and methods through examples of their applications is very useful. Beginners will find econometrics a lot easier to pick up using this book, while experienced readers will enjoy taking a tour over the actual case studies to appreciate the power of econometrics.”
Dr Liu Xiaoqing, Senior Vice President, Treasury and Market, DBS Bank
“Professor Kian Guan, a respected scholar in the field of finance, has written two extremely valuable texts on ‘Financial Valuation and Econometrics’ and ‘Probability and Financial Theory’. These texts develop the core ideas of finance in the last 40 years and their applications in an accessible manner without sacrificing rigor. I recommend the texts for scholars teaching financial theory, capital markets, and financial engineering.”
Suresh M Sundaresan, Chase Manhattan Bank Professor of Economics and Finance, Columbia Business School, University of Columbia, USA
About the Author
{“@context”:”:”https://schema.org”,”@type”:”Book”,”name”:”Financial Valuation and Econometrics”,”image”:”https://m.media-amazon.com/images/I/51iPdJnpKbL._SY466_.jpg”,”author”:{“@type”:”Person”,”name”:”Kian Guan Lim (Author)”},”publisher”:{“@type”:”Organization”,”name”:”World Scientific Publishing Company”},”datePublished”:”June 18, 2026″,”isbn”:”9789819826773″,”numberOfPages”:692,”inLanguage”:”English”,”description”:”This book provides a comprehensive introduction to financial valuation and financial data analysis using econometric methods. It is intended for advanced finance undergraduates and graduate students, offering detailed guidance on applying econometric techniques to real-world financial problems. Most chapters in the book would contain one or more finance application examples where finance concepts and theory are taught. This book weaves together the three important domains of financial valuation theory, econometrics modelling, and the empirical analyses of financial data using common programming languages and statistical software. The pedagogical approach in this book employs various suitable econometric methods such as multiple linear and panel regressions, time series analyses, cointegration, maximum likelihood, the generalized method of moments to perform estimation and testing of popular financial models using appropriate financial data. It provides for very effective learning by a finance professional or student who wants to be well equipped in both theory and the ability to investigate the models using appropriate econometrics and statistical techniques. Learning these econometric methods is also important in complementing prediction and classification techniques in AI and machine learning.”,”url”:”https://www.amazon.com/dp/9819826772/”,”bookFormat”:”http://schema.org/EBook”,”additionalType”:”http://schema.org/PDF”,”fileSize”:”72 MB”,”accessibilityFeature”:[“login required”,”member access only”],”accessibilitySummary”:”PDF version available to authenticated members only. File size: 72 MB.”}
Wow! eBook


