IMPACT OF UNCERTAINTY ON EUROPEAN MARKET INDICES QUANTILE REGRESSION APPROACH
Abstract
Contemporary Europe needs to make important collective economic and foreign-policy decisions. Many authors argue that uncertainty has influence on the markets’ behavior. Therefore, we have decided to analyze the impact of the uncertainty on the returns and the volatility of two major European market indices Germany (DAX) and the U.K. (FTSE 100) across selected quantiles. We present results for the time-period from January 3, 2000 to December 30, 2016. As influential factors, we consider the Economic policy uncertainty (EPU) indices for Europe, the United Kingdom, Brexit and low prices of the crude oil. In our paper, we have found an asymmetric dependence of the analyzed market indices on the selected factors. EPU Brexit had no or weak impact on the analyzed data. Our conclusion shows to investors how sensitive German and English markets are to the uncertainty in Europe.References
Alexander, C. (2008). Market Risk Analysis. Chichester. John Wiley & Soons.
Aymen, B. R., Mongi, A. (2016). Financial market interdependencies: A quantile regression analysis of volatility spillover. Research in International Business and Finance, 36, 140-157. doi:10.1016/j.ribaf.2015.09.022,NBER WORKING PAPER SERIES
Baker, S. R, Bloom, N., Davis, S. J. (October 2015). Measuring Economic Policy Uncertainty. Working Paper 21633, National Bureau of Economic Research, Cambridge. http://www.nber.org/papers/w21633
Birău, R., Antonescu, M. (2014). Investigating Long-term Dynamic Causal Linkages between Hungarian and Romanian Stock Markets. Procedia Economics and Finance, 16, 669-679. doi:10.1016/S2212-5671(14)00855-7
Engle, R.F., Manganelli, S. (2004). CAViaR: conditional autoregressive value at risk by regression quantiles. In: Journal of Business and Economic Statistics 22, 367–381.
Koenker, R., Bassett, G. (1978). Regression quantiles. Econometrica, 46, 33–50.
McMillen, D. P. (2013). Quantile Regression for Spatial Data. Springer
Mensi, W., Hammoudeh, S., Reboredo, J. C., Nguyen, D. K. (2014). Do global factors impact BRICS stock markets? A quantile regression approach. In: Emerging Markets Review, Vol. 19, June 2014, 1–17, doi:10.1016/j.ememar.2014.04.002
Naifar, N. (2016). Do global risk factors and macroeconomic conditions affect global Islamic index dynamics? A quantile regression approach. In: The quaterly Review of Economics and Finance 61, 29-39. [Online]. Available at: http://dx.doi.org/10.1016/j.qref.2015.10.004 [Accessed: October, 15, 2016]
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