Detail publikace

Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns

Autor: doc. PhDr. Jozef Baruník Ph.D.,
PhDr. František Čech ,
Typ: IES Working Papers
Rok: 2017
Číslo: 20
Publikováno v: IES Working Papers 20/2017
Místo vydání: Prague
Klíčová slova: panel quantile regression, realized measures, Value-at-Risk
JEL kódy: C14, C23, G17, G32
Citace: Cech F., Barunik J. (2017). "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns” IES Working Paper 20/2017. IES FSV. Charles University.
Granty: GAUK 610317: Meranie spoločných rizikových faktorov: panelová kvantilová regresia pre výnosy a volatilitu
Abstrakt: This paper investigates how to measure common market risk factors using newly proposed Panel Quantile Regression Model for Returns. By exploring the fact that volatility crosses all quantiles of the return distribution and using penalized fixed effects estimator we are able to control for otherwise unobserved heterogeneity among financial assets. Direct benefits of the proposed approach are revealed in the portfolio Value-at-Risk forecasting application, where our modeling strategy performs significantly better than several benchmark models according to both statistical and economic comparison. In particular Panel Quantile Regression Model for Returns consistently outperforms all the competitors in the 5% and 10% quantiles. Sound statistical performance translates directly into economic gains which is demonstrated in the Global Minimum Value-at-Risk Portfolio and Markowitz-like comparison. Overall results of our research are important for correct identification of the sources of systemic risk, and are particularly attractive for high dimensional applications.
Ke stažení: wp_2017_20_cech


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