Batiston Marques, Thales and Seixas dos Santos, Nelson (2016): Do Political News Affect Financial Market Returns? Evidences from Brazil. Published in: International Journal of Management, Accounting and Economics , Vol. 3, No. 10 (October 2016): pp. 545-571.
Preview |
PDF
MPRA_paper_75530.pdf Download (1MB) | Preview |
Abstract
This paper investigates the relation between political news and market returns. To do so we applied a Garch filter to a sample of the main Brazilian stock market index returns (Ibovespa Index) and of short-term interest rates (Selic Over and DI) which ranged from 01/02/2014 to 04/29/2016. Then we looked for periods of abnormal volatility which might be associated with political events using a parametric and a nonparametric method. Notwithstanding there were news like important politician been arrested and even speculation about the beginning of an impeachment process, we found relation between abnormal volatilities and political news only in Ibovespa returns during Presidential Elections.
Item Type: | MPRA Paper |
---|---|
Original Title: | Do Political News Affect Financial Market Returns? Evidences from Brazil |
English Title: | Do Political News Affect Financial Market Returns? Evidences from Brazil |
Language: | English |
Keywords: | Political Events, Financial Markets, Information, GARCH. |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading |
Item ID: | 75530 |
Depositing User: | Dr Nelson Seixas dos Santos |
Date Deposited: | 19 Dec 2016 12:37 |
Last Modified: | 29 Sep 2019 15:58 |
References: | Baker, S. R., Bloom, N., & Davis, S. J. (#Feb# de 2012). Policy uncertainty: a new indicator. CentrePiece - The Magazine for Economic Performance, Centre for Economic Performance, LSE. Fonte: https://ideas.repec.org/p/cep/cepcnp/362.html BM&FBovespa. (2016, June 12). Bovespa Index (Ibovespa). Retrieved from BM&FBovespa: http://www.bmfbovespa.com.br/en_us/products/indices/broad-indices/bovespa-index-ibovespa-1.htm Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), 307-327. Box, G. E., & Pierce, D. A. (1970). Distribution of residual autocorrelations in autoregressive-integrated moving average time series models. Journal of the American statistical Association, 65(332), 1509-1526. Brazil. (1964, December 31). Lei 4595/1964. Law. Brazil: Diário Oficial da União. doi:4595/1964 Brazil. (Dezembro de 1964). Lei No. 4595 de 31 de Dezembro de 1964. Di\'ario Oficial da Uni\~ao, 5425. Brazil. (1988). Constituição da República Federativa do Brasil: 49ª edição. Edições Câmara, 2016. Fonte: https://books.google.com.br/books?id=jeEhCQAAQBAJ Brazil, C. B. (2016). Dados Diários. {Dados Diários}. Central Bank of Brazil. (2015). Frequently Asked Questions. Fonte: Central Bank of Brazil: http://www4.bcb.gov.br/pec/gci/ingl/focus/FAQ% Central Bank of Brazil. (2016). CETIP S.A. - Mercados Organizados. Fonte: Central Bank of Brazil: http://www.bcb.gov.br/Pom/Spb/Ing/SecuritiesDerivativesForeign/CetipIngles.asp?idpai=FMISYSTEMS Central Bank of Brazil. (30 de 06 de 2016). Dados Diários. Fonte: Banco Central do Brasil: http://www.bcb.gov.br/htms/selic/selicdiarios.asp Central Bank of Brazil. (12 de June de 2016). Time Series Management System - v2.1. Fonte: Banco Central do Brasil: https://www3.bcb.gov.br/sgspub/localizarseries/localizarSeries.do?method=prepararTelaLocalizarSeries CETIP. (12 de June de 2016). Estatísticas. Fonte: CETIP: http://estatisticas.cetip.com.br/astec/series_v05/paginas/web_v05_template_informacoes_di.asp?str_Modulo=completo&int_Idioma=1&int_Titulo=6&int_NivelBD=2 Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431. Dong, H., Bowers, H., & Latham, W. R. (2013). Evidence on the Efficient Market Hypothesis from 44 Global Financial Market Indexes. Working Papers, University of Delaware, Department of Economics. Fonte: https://ideas.repec.org/p/dlw/wpaper/13-07..html Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417. Gabriel, F. S., Ribeiro, R. B., & de Sousa Ribeiro, K. C. (2013). Hip\'oteses de mercado eficiente: um estudo de eventos a partir da redu\cc\~ao do IPI. Revista de Gest{\~a}o, Finan{\c{c}}as e Contabilidade, 3(1), 36. Jovanovic, M., & Zimmermann, T. (#Nov# de 2008). Stock Market Uncertainty and Monetary Policy Reaction Functions of the Federal Reserve Bank. Ruhr Economic Papers, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen. Fonte: https://ideas.repec.org/p/rwi/repape/0077.html Kamal, M. (#Mar# de 2014). Studying the Validity of the Efficient Market Hypothesis (EMH) in the Egyptian Exchange (EGX) after the 25th of January Revolution. MPRA Paper, University Library of Munich, Germany. Fonte: https://ideas.repec.org/p/pra/mprapa/54708.html Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of econometrics, 54(1-3), 159-178. Laakkonen, H. (#Mar# de 2015). Relevance of uncertainty on the volatility and trading volume in the US Treasury bond futures market. Research Discussion Papers, Bank of Finland. Fonte: https://ideas.repec.org/p/hhs/bofrdp/2015_004.html Ljung, G. M., & Box, G. E. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303. Naraidoo, R., & Raputsoane, L. (August de 2015). Financial markets and the response of monetary policy to uncertainty in South Africa. Empirical Economics, 49(1), 255-278. Fonte: https://ideas.repec.org/a/spr/empeco/v49y2015i1p255-278.html Narayan, P. K., Liu, R., & Westerlund, J. (2016). A GARCH model for testing market efficiency. Journal of International Financial Markets, Institutions and Money, 41(C), 121-138. Fonte: https://ideas.repec.org/a/eee/intfin/v41y2016icp121-138.html Oprean, C. (Decembre de 2012). Testing the financial market informational efficiency in emerging states. Review of Applied Socio-Economic Research, 4(2), 181-190. Fonte: https://ideas.repec.org/a/rse/wpaper/v4y2012i2p181-190.html Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. Smales, L. A. (2015). Better the devil you know: The influence of political incumbency on Australian financial market uncertainty. Research in International Business and Finance, 33(C), 59-74. Fonte: https://ideas.repec.org/a/eee/riibaf/v33y2015icp59-74.html |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/75530 |