Development of Russian Political Uncertainty Index (RPUI): Textual Analysis
https://doi.org/10.33293/1609-1442-2019-2(85)-52-64
Abstract
The article is devoted to the characteristics of political uncertainty and its influence on stock market. Intensification of political factors' pressure on financial market defined the necessity to set up an indicator that will assess the political uncertainty. For this purpose factors specifying the political uncertainty were found out on the basis of existing approaches – governor's personality, parliamentary elections, civil servants' change frequency, president's election, revolutions and political regime are among the factors.
There are several indicators developed on the basis of the defined factors that give an assessment of the political uncertainty level. One of the most popular – Index of Economic Policy Uncertainty (EPU index) – is constructed in terms of text analysis method using the estimation of media coverage. This index became the background of developing the author's index of political uncertainty for Russian companies, which differs by analysis of a wider empirical basis and applying an extended dictionary of economic terms. In order to deepen research two indexes directed to Russia Sanctions analysis were also constructed. The high level of the developed political uncertainty index accuracy for Russia was proved during its testing on the empirical basis for period from 2013 to 2018 in comparison with EPU index. An inverse relation between the level of political uncertainty and stock index was also determined using econometric methods. Therefore, a negative influence of political uncertainty on Russian stock market was proved.
Supporting agencies: The article is based on the results of the research supported by budget funds according to the State job to the Financial University under the Government of the Russian Federation for 2018.
About the Authors
Elena A. Fedorova
Financial University under the Government of the Russian Federation
Russian Federation
Moscow
Russian Federation
Moscow
Svetlana O. Musienko
Financial University under the Government of the Russian Federation
Russian Federation
Moscow
Russian Federation
Moscow
Fedor Yu. Fedorov
RedSys Ltd.
Russian Federation
Moscow
Russian Federation
Moscow
References
1. Mandron V.V., Nikonets O.E. (2016). The degree of volatility of the conjuncture of the national financial market in crisis conditions. Vestnik NIEI, no. 3 (58), pp. 40–52 (in Russian).
2. Yaroslavtsev A.O. (2012). Comparative ratings and indices as tools for measuring political stability. Vestnik RUDN. Political Science Series, no. 2, pp. 103–114 (in Russian).
3. Alesina А., Perotti R. (1996). Income distribution, political instability, and Investment. European Economic Review, no. 40, pp. 1203–1228.
4. An H., Chen Y., Luo D., Zhang T. (2016). Political uncertainty and corporate investment: Evidence from China. Journal of Corporate Finance, vol. 36, pp. 174–189. DOI: 10.1016/j.jcorpfin.2015.11.003.
5. Azam M., Khan M.A., Iqbal N. (2012). Impact of political risk and uncertainty on FDI in South Asia. Transition Studies Review, no. 19 (1), pp. 59–77.
6. baker S. R., Bloom N., Davis S.J. (2015). Measuring Economic Policy Uncertainty. URL: http://www.policyuncertainty.com/media/EPU_bbD_2013.pdf.
7. Choi S., Shim M. (2018). Financial vs. Policy Uncertainty in Emerging Market Economies. Open Economies Review. https://doi.org/10.1007/s11079-018-9509-9.
8. Hoque M.E., Akhter T., Yakob, N.A. (2018). Revisiting endogeneity among foreign direct investment, economic growth and stock market development: Moderating role of political instability. Cogent Economics & Finance, no. 6 (1). DOI: https://doi.org/10.1080/23322039.2018.1492311.
9. Jensen N.M., Schmith S. (2005). Market responses to politics. The Rise of Lula and the Decline of the brazilian Stock Market. Comparative political studies, vol. 38, no. 10, pp. 1245–1270.
10. Jeribi A., Fakhfekh M., Jarboui A. (2015). Tunisian revolution and stock market volatility: evidence from FIEGARCH model. Managerial Finance, vol. 41, iss. 10, pp. 1112–1135. DOI: https://doi.org/10.1108/MF-12-2014-0310.
11. Liew V.K.-S., Rowland R. (2016). The effect of Malaysia general election on stock market returns. SpringerPlus, no. 5 (1): 1975. DOI: 10.1186/s40064-016-3648-5.
12. Nguyen Q., Kim T., Papanastassiou M. (2018). Policy uncertainty, derivatives use, and firm-level FDI. Journal of International Business Studies, no. 49, pр. 96–126.
13. Ozler S., Tabellini G. (1991). External debt and political instability. NbER Working papers series, no. 3772.
14. Robinson C.J., Bangwayo-Skeete R. (2017). Parliamentary elections and frontier stock markets: Evidence from stock market reaction to general elections in the Commonwealth Caribbean. Global Business Review, vol. 18, iss. 5, pp. 1077–1088.
15. Williams K. (2017). Foreign direct investment, economic growth, and Political instability. Journal of Economic Development, vol. 42, no. 2, pp. 17–37.
16. Wang Y.-H., Lin C.-T. (2008). Empirical analysis of political uncertainty on TAIEX stock market. Applied Economics Letters, no. 15, pp. 545–550. DOI: 10.1080/13504850600592507.
Review
For citations:
Fedorova E.A., Musienko S.O., Fedorov F.Yu. Development of Russian Political Uncertainty Index (RPUI): Textual Analysis. Economics of Contemporary Russia. 2019;(2):52-64. (In Russ.) https://doi.org/10.33293/1609-1442-2019-2(85)-52-64
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