Bouoiyour, Jamal and Selmi, Refk (2016): Brexit concerns, UK and European equities: A lose-lose scenario?
Preview |
PDF
MPRA_paper_70519.pdf Download (1MB) | Preview |
Abstract
We assess whether the attention given to “Brexit” (via Google Trends and Twitter) exerts a significant influence on UK, German and French stock markets. While a large body of work has proposed models for the conditional mean and variance of equity returns, this research is undertaken towards modeling the full return distribution (quantile regression approach), and decomposing the covariance into different spectral components (frequency domain causality test). Despite an acute consciousness that it is difficult to quantify the costs of Brexit, on the basis of this article’ outcomes, we’re being told little of what happens with the growing support for Brexit. Whatever the methods and the internet proxies used, this study inconvertibly reveals that the severeness of Brexit’ impact was not uniform across the investigated equities. Germany and France (in this order) suffered heavier losses if the British exit from Europe occurs, while UK experienced puny effect.
Item Type: | MPRA Paper |
---|---|
Original Title: | Brexit concerns, UK and European equities: A lose-lose scenario? |
English Title: | Brexit concerns, UK and European equities: A lose-lose scenario? |
Language: | English |
Keywords: | Brexit; social media; equities; UK; Germany; France. |
Subjects: | G - Financial Economics > G0 - General G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 70519 |
Depositing User: | R. Selmi |
Date Deposited: | 06 Apr 2016 05:07 |
Last Modified: | 26 Sep 2019 08:54 |
References: | Balcilar, M., R. Demirer, and S. Hammoudeh, (2010) “What Drives Herding in Oil-Rich, Developing Stock Markets? Relative Roles of Own Volatility and Global Factors,” North American Journal of Economics and Finance 29, pp. 418–440. Baur, D. G. and Lucey, B. M., (2010), “Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold.” The Financial Review, Eastern Finance Association, 45(2), pp. 217-229. Bouoiyour, J. and Selmi, R. (2015 a), “Can Bitcoin be a viable solution to Greece’s debt crisis? The role of social media networks.” Working paper, CATT, University of Pau. Bouoiyour, J. and Selmi, R. (2015 b), “Is the Internet Search Driving Oil Market?” Working paper, CATT, University of Pau. Breitung, J., and Candelon, B., (2006), “Testing for short and long-run causality: a frequency domain approach.” Journal of Econometrics 132, pp. 363-378. Cade, B.S. and Noon, B.R. (2003), “A gentle introduction to quantile regression for ecologists.” Frontiers in Ecology and Evolution 1, pp. 412-420. Damasio, A., (1999), “The Feeling of What Happens.” Harcourt Brace, New York. Dolan, R-J., (2002), “Emotion, Cognition, and Behavior.” Science, 298 (5596), pp. 1191-1194. Geweke, J. (1982), “Measurement of linear dependence and feedback between multiple time series.” Journal of American Statistical Association 77, pp. 304-324. Hood, M. and F. Malik, (2013) “Is Gold the Best Hedge and a Safe Haven under Changing Stock Market Volatility?” Review of Financial Economics 22, pp. 47–52. Koenker, R. and Bassett, G. (1978) “Regression quantiles” Econometrica 46 (1), pp. 33-50. Koenker, R., and Xiao, Z. (2002). “Inference on the quantile regression process.” Econometrica, 70(4), pp. 1583-1612. Kristoufek, L., (2013), “Bitcoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era.” Scientific Reports 3 (3415), 1-7. Mishra, P. K., Das, J. R., and Mishra, S. K. (2010) “Gold price volatility and stock market returns in India,” American Journal of Scientific Research, pp. 47-55. Mitchell, A., T. Rosenstiel and L. Christian (2012), “What Facebook and Twitter Mean for News.” Pew Research Center, Annual Report on American Journalism: The State of the News Media 2012. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/70519 |