Financial econometrics is an interdisciplinary subject that uses statistical methods and economic theory to address a variety of quantitative problems in finance. This compact, master's-level textbook focuses on methodology and includes real financial data illustrations throughout. The mathematical level is purposely kept moderate, allowing the power of the quantitative methods to be understood without too much technical detail. Wherever possible, the authors indicate where to find the relevant R codes to implement the various methods. This book grew out of a course at Princeton University which is one of the world's flagship programs in computational finance and financial engineering. It will therefore be useful for those with an economics and finance background who are looking to sharpen their quantitative skills, and also for those with strong quantitative skills who want to learn how to apply them to finance.Read more
- Includes practical examples which are illustrated with real financial data
- Integrates statistical analysis with R and provides students with easy access to R code
- Consists of two integrated parts, with the first four chapters based on time series aspects of financial econometrics and the last five chapters covering cross-sectional aspects
Reviews & endorsements
'The Elements of Financial Econometrics is a compact introduction to quantitative methods for financial professionals who want to improve their quantitative skill set. The book is a survey of the statistical tools and associated applications needed by those who seek to use quantitative methods and empirical rigor in their analyses.' Nick Ronalds, Financial Analysts Journal
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- Date Published: March 2017
- format: Hardback
- isbn: 9781107191174
- length: 392 pages
- dimensions: 250 x 175 x 23 mm
- weight: 0.91kg
- contains: 6 b/w illus. 92 colour illus. 26 tables 90 exercises
- availability: Available
Table of Contents
1. Asset returns
2. Linear time series models
3. Heteroscedastic volatility models
4. Multivariate time series analysis
5. Efficient portfolios and capital asset pricing model
6. Factor pricing models
7. Portfolio allocation and risk assessment
8. Consumption-based CAPM
9. Present-value models
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