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The Elements of Financial Econometrics

The Elements of Financial Econometrics

The Elements of Financial Econometrics

Jianqing Fan, Princeton University, New Jersey
Qiwei Yao, London School of Economics and Political Science
April 2017
Available
Hardback
9781107191174
$82.00
USD
Hardback

    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.

    • 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

    See more reviews

    Product details

    April 2017
    Hardback
    9781107191174
    392 pages
    250 × 175 × 23 mm
    0.91kg
    6 b/w illus. 92 colour illus. 26 tables 90 exercises
    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
    • References
    • Author index
    • Subject index.
    Resources for
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      Authors
    • Jianqing Fan , Princeton University, New Jersey

      Jianqing Fan is a statistician and financial econometrician. He is the current Frederick L. Moore '18 Professor of Finance and Professor of Statistics at Princeton University, New Jersey. His prizes include the Guggenheim Fellowship (2009), the Guy Medal in Silver (2014) and the COPSS Presidents' Award (2000). In 2012, he was elected Academician of Academia Sinica. He is a co-editor of the Journal of Econometrics and an associate editor of the Journal of the American Statistical Association.

    • Qiwei Yao , London School of Economics and Political Science

      Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an associate editor for the Journal of the American Statistical Association and for the Journal of the Royal Statistical Society: Series B.