Application of the Divisia Index with Interconnected Factors in the Warsaw Stock Exchange Index (WIG) fluctuation analysis

Authors

  • Jacek Białek University of Lodz, Faculty of Economics and Sociology, Department of Statistical Methods
  • Radosław Pietrzyk Wrocław University of Economics, Faculty of Management, Information Systems and Finance, Department of Financial Investment and Risk Management http://orcid.org/0000-0002-6583-8424

DOI:

https://doi.org/10.18778/0208-6018.330.09

Keywords:

Factorial analysis, Divisia index, interconnected factors, Warsaw Stock Exchange Index analysis

Abstract

This paper presents a method of economic factorial analysis based on the Divisia index extended to interconnected factors. We verify the applicability of the presented method to financial market research by examining fluctuations of the Warsaw Stock Exchange WIG Index (WIG). We consider four main factors of WIG changes: the GDP growth, the PLN/EUR rate, the S&P500 and the unemployment rate. Due to computational reasons we apply the transformation that produces variables in the bigger the better form. We use quarterly data from the time interval between 2003 and 2014 divided into periods of bull and bear market. All considered variables are assumed to change linearly between quarters. The main conclusion is that during market prosperity, GDP and S&P500 changes exhibit the strongest influence on WIG changes.

Downloads

Download data is not yet available.

References

Ang B.W. (2004), Decomposition analysis for policymaking in energy: which is the preferred method?, “Energy Policy”, vol. 32, pp. 1131–1139.
Google Scholar

Ang B.W., Liu F.L., Chew E.P. (2003), Perfect decomposition techniques in energy and environmental analysis, “Energy Policy”, vol. 31, pp. 1561–1566.
Google Scholar

Białek J. (2015), Generalization of the Divisia price and quantity indices in a stochastic model with continuous time, “Communications in Statistics: Theory and Methods”, vol. 44, no. 2, pp. 309–328.
Google Scholar

Chen N.F., Roll R., Ross S.A. (1986), Economic Forces and the Stock Market, “The Journal of Business”, vol. 59, no. 3, pp. 383–403.
Google Scholar

Choi K.H., Oh W. (2014), Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry, “Energy Policy”, vol. 65, pp. 275–283.
Google Scholar

Dadgostar B., Moazzami B. (2003), Dynamic Relationship Between Macroeconomic Variables and the Canadian Stock Market, “Journal of Applied Business and Economics”, vol. 2, no. 1, pp. 7–14.
Google Scholar

Divisia F. (1925), L’indice Monetaire et la Theorie de la Monnaie, “Revue d’Economic Politique”, vol. 39, no. 5, pp. 980–1020.
Google Scholar

Fama E.F. (1981), Stock Returns, Real Activity, Inflation, and Money, “The American Economic Review”, vol. 71, no. 4, pp. 545–565.
Google Scholar

Fernández González P., Presno M.J., Landajo M. (2015), Regional and sectoral attribution to percentage changes in the European Divisia carbonization index, “Renewable and Sustainable Energy Reviews”, vol. 52, pp. 1437–1452.
Google Scholar

Humpe A., Macmillan P. (2009), Can macroeconomic variables explain long‑term stock market movements? A comparison of the US and Japan, “Applied Financial Economics”, vol. 19, no. 2, pp. 111–119.
Google Scholar

Lippe P. von der (2007), Index Theory and Price Statistics, Peter Lang Publishing, Frankfurt.
Google Scholar

McMillan D.G. (2010), Stock Market Fundamentals and Bubbles: Implications for Prices, GDP and Consumption, “SSRN Electronic Journal”, http://www.ssrn.com/abstract=1695443 [ac­cessed: 18.12.2016].
Google Scholar

Mukherjee T.K., Naka A. (1995), Dynamic Relations between Macroeconomic Variables and Japanese Stock Market: An Application Of A Vector Error‑Correction Model, “The Journal of Financial Research”, vol. 18, no. 2, pp. 223–237.
Google Scholar

Nelson C.R. (1976), Inflation and Rates of Return on Common Stocks, “The Journal of Finance”, vol. 31, no. 2, pp. 471–483.
Google Scholar

Sheremet A., Dei G., Shapovalov V. (1971), Method of the chain substitutions and development of the factorial analysis of the economic indicators, “Vestnik Moskovskogo Universiteta, Ser. Ekonomika”, vol. 4, pp. 62–69.
Google Scholar

Vaninsky A.Y. (1986), Analysis of production efficiency based on the generalized integral method, [in:] A. Aksenenko (ed.), Accounting and analysis of production efficiency (Uchet i analiz effectivnosti proizvodstva), Financy i Statistika, Moscow.
Google Scholar

Vaninsky A.Y. (1987), Factorial Analysis of Economic Activity (Factornyi Analiz Khozyaistbennoi Deyatel’nosti), Financy i Statistika, Moscow.
Google Scholar

Vaninsky A.Y. (2013), Economic Factorial Analysis of CO2 Emissions: The Divisia Index with Interconnected Factors Approach, “International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering”, vol. 7, no. 10, pp. 2772–2777.
Google Scholar

Vaninsky A.Y., Meerovich V. (1978), Problems of the methodology of analysis of the impact of structural change on the indicators of production efficiency (Voprosy metodologii analiza vliyaniya strukturnykh sdvigov na pokazateli effectivnosti proizvodstva), “Proceedings of the National Scientific Conference ‘Economic Leverages of the Efficiency of Using Material, Labor, Financial, and Natural Resourses’”, Central Economic‑Mathematical Institute, Moscow.
Google Scholar

Wiśniewski H. (2014), Wpływ zmiennych makroekonomicznych na indeksy giełdowe, Uniwersytet Warszawski, Warszawa.
Google Scholar

Downloads

Published

2017-11-15

How to Cite

Białek, J., & Pietrzyk, R. (2017). Application of the Divisia Index with Interconnected Factors in the Warsaw Stock Exchange Index (WIG) fluctuation analysis. Acta Universitatis Lodziensis. Folia Oeconomica, 4(330), [129]-142. https://doi.org/10.18778/0208-6018.330.09

Issue

Section

Articles

Similar Articles

<< < 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 > >> 

You may also start an advanced similarity search for this article.