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.
