Financial econometrics is the application of statistical methods to financial market data.[1] Financial econometrics is a branch of financial economics, in the field of economics. Areas of study include capital markets,[2] financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of individual stocks, bonds, derivatives, currencies and other financial instruments.

It differs from other forms of econometrics because the emphasis is usually on analyzing the prices of financial assets traded at competitive, liquid markets.

People working in the finance industry or researching the finance sector often use econometric techniques in a range of activities – for example, in support of portfolio management and in the valuation of securities. Financial econometrics is essential for risk management when it is important to know how often 'bad' investment outcomes are expected to occur over future days, weeks, months and years.


The sort of topics that financial econometricians are typically familiar with include:

Research community

The Society for Financial Econometrics (SoFiE)[5] is a global network of academics and practitioners dedicated to sharing research and ideas in the fast-growing field of financial econometrics. It is an independent non-profit membership organization, committed to promoting and expanding research and education by organizing and sponsoring conferences, programs and activities at the intersection of finance and econometrics, including links to macroeconomic fundamentals. SoFiE was co-founded by Robert F. Engle and Eric Ghysels.

Premier-quality journals which publish financial econometrics research include Econometrica, Journal of Econometrics and Journal of Business & Economic Statistics. The Journal of Financial Econometrics[6] has an exclusive focus on financial econometrics. It is edited by Federico Bandi and Andrew Patton, and it has a close relationship with SoFiE.

The Nobel Memorial Prize in Economic Sciences has been awarded for significant contribution to financial econometrics; in 2003 to Robert F. Engle "for methods of analyzing economic time series with time-varying volatility" and Clive Granger "for methods of analyzing economic time series with common trends"[7] and in 2013 to Eugene Fama, Lars Peter Hansen and Robert J. Shiller "for their empirical analysis of asset prices".[8] Other highly influential researchers include Torben G. Andersen, Tim Bollerslev and Neil Shephard.[9]


  1. ^ Brooks, Chris (2014). Introductory Econometrics for Finance (3rd ed.). Cambridge: Cambridge University Press. ISBN 9781107661455.
  2. ^ Campbell, John; Lo, Andrew; MacKinlay, Andrew (1997). The Econometrics of Financial Markets. Princeton: Princeton University Press. ISBN 9780691043012.
  3. ^ Taylor, Stephen (2005). Asset Price Dynamics, Volatility, and Prediction. Princeton: Princeton University Press. ISBN 9780691134796.
  4. ^ Wang, Peijie (2003). Financial Econometrics: Methods and Models. Routledge. ISBN 978-0-415-22455-0.
  5. ^ "{title}". Archived from the original on 2012-11-17. Retrieved 2012-11-10.
  6. ^ "{title}". Archived from the original on 2009-11-24. Retrieved 2009-12-02.
  7. ^ "{title}". Archived from the original on 2017-06-02. Retrieved 2017-06-13.
  8. ^ "{title}". Archived from the original on 2017-06-02. Retrieved 2017-06-13.
  9. ^ "Profiles".