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Financial econometrics

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

Topics
The sort of topics that financial econometricians are typically familiar with include: • analysis of high-frequency price observations • arbitrage pricing theory • asset price dynamics • optimal asset allocationcointegrationevent study • nonlinear financial models such as autoregressive conditional heteroskedasticityrealized variance • fund performance analysis such as returns-based style analysis • tests of the random walk hypothesis • the capital asset pricing model • the term structure of interest rates (the yield curve) • value at riskvolatility estimation techniques such as exponential smoothing models and RiskMetricsEpps effect ==Research community==
Research community
The Society for Financial Econometrics (SoFiE) 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 focuses exclusively on financial econometrics and maintains 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" and in 2013 to Eugene Fama, Lars Peter Hansen and Robert J. Shiller "for their empirical analysis of asset prices". Other highly influential researchers include Torben G. Andersen, Tim Bollerslev and Neil Shephard. ==References==
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