Time Series Decomposition as a Method of Measuring Capital Markets Convergence
Rafał Żukowski
Collegium of Management and Finance, Warsaw School of Economicshttps://orcid.org/0000-0003-0215-3433
Abstract
The aim of the article is to present time series decomposition as a method of measuring capital markets convergence. As an example, convergence of two different sets of markets are measured using this methodology. On the basis of this research, it has been established that time series decomposition of the market indices can prove or reject a hypothesis of moving indices in similar directions over a period of time.
Keywords:
time series analysis, international capital markets, markets convergenceReferences
Berenson, M., Levinet, D., & Szabat, K. (2015). Basic Business Statistics: Concepts and Application. 13th edition. Pearson, USA. Google Scholar
Cooraj, T.M.J.A. (2008). Applied Time Series. Analysis and Forecasting. New Delhi: Narosa. Google Scholar
Enders, W. (2003). Applied Econometric Time Series. Hoboken, NJ: John Wiley & Sons. Google Scholar
Frątczak, E. (2015). Statistics for Management and Economics. Warszawa: Oficyna Wydawnicza SGH. Google Scholar
Frątczak, E., & Korczyński A. (2013). Statystyka od podstaw z systemem SAS. Warszawa: Oficyna Wydawnicza SGH. Google Scholar
Hamilton, J. (1994). Time Series Analysis. Princeton: Princenton University. Google Scholar
Jóźwiak, J., & Podgórski, J. (2000). Statystyka od podstaw. Warszawa: Polskie Wydawnictwo Ekonomiczne. Google Scholar
Lynch, P., & Zumbach, G. (2003). Market heterogeneities and the causal structure of volatility. Quantitative Finance, 3. http://dx.doi.org/10.1088/1469-7688/3/4/308. Google Scholar
Peck, R., & Devore, J. (2012). Statistics. The Exploration and Analysis of Data. 7th international ed. Brooks/Cole Cengage Learning. Google Scholar
Subbotin, A. (2008). A multi-horizon scale for volatility. Working Paper. Paris: University of Paris. http://dx.doi.org/10.2139/ssrn.1101376. Google Scholar
Valkanov, R. (2003). Long-horizon regressions: Theoretical results and applications. Journal of Financial Economics, 68. http://dx.doi.org/10.1016/S0304-405X(03)00065-5. Google Scholar
World Federation of Exchanges. (2020). Retrieved from https://www.world-exchanges.org (25.03.2020). Google Scholar
Collegium of Management and Finance, Warsaw School of Economics
https://orcid.org/0000-0003-0215-3433
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