The effects of national and global macroeconomic factors on emerging stock markets: An empirical research on Turkey and BRICS countries
Published 2021-12-25
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Copyright (c) 2021 İsmail Karataş- Mehmet İslamoğlu
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Abstract
This study was handled and prepared to determine the impact of national and global macroeconomic factors on the stock exchanges of Turkey and the BRICS (Brazil, Russia, India, China and South Africa) countries. For this purpose, monthly data from January 2003 - December 2016 were used to analyse the study. Federal funds rate, global commodity price index, MSCI World Index, consumer price index, industrial production index, narrow-defined money supply and U.S. Dollar-based real exchange rate are the explanatory variables of the study. The explained variables of the research are the closing prices of the stock market index of these countries. In this context, each country set a model, and the Linear Autoregressive Distributed Lag (ARDL) approach was applied to reach the related results. In addition, Nonlinear Autoregressive Distributed Lag (NARDL) approach was used in the study. In this context, the global commodity price index, narrow-defined money supply, and U.S. Dollar-based real exchange rate were the explanatory variables; the closing prices of the stock market of these countries as dependent variables were included in the models. According to the ARDL approach analysis results, it was observed that there were statistically significant effects in the context of the variables. Furthermore, according to the results of the NARDL approach analysis, it was determined that there were short-term and long-term asymmetric effects in the context of the variables.
References
- Adesanmi, A. A. (2018). The Impact of National and Global Macroeconomic Factors on Emerging Stock Markets: A Multi-Statistical Analysis of the MINT Countries. Yayımlanmamış Doktora Tezi. Cardiff Metropolitan University.
- Ahmed, K. (2017). Revisiting the Role of Financial Development for Energy-Growth-Trade nexus in BRICS Economies. Energy, 128, 487-495.
- Ansari, M. G., & Sensarma, R. (2019). US Monetary Policy, Oil and Gold Prices: Which has a Greater Impact on BRICS Stock Markets? Economic Analysis and Policy, 64, 130-151.
- Bacik, G. (2013). Turkey and the BRICS: Can Turkey Join the BRICS? Turkish Studies, 14(4), 758-773.
- Banafea, W. A. (2012). Essays on Structural Breaks and Stability of the Money Demand Function. Yayımlanmamış Doktora Tezi. Kansas State University, College of Arts and Sciences, Department of Economics, Kansas.
- Banerjee, A., Dolado, J. J., & Mestre R. (1998). Error-Correction Mechanism Tests for Co-Integration in Single Equation Framework. Journal of Time Series Analysis, 19(3), 267-283.
- Barry, C. B., Peavy, J. W., & Rodriguez, M. (1998). Performance Characteristics of Emerging Capital Markets. Financial Analysts Journal, 54(1), 72-80.
- Belen, M., & Karamelikli, H. (2016). Türkiye’de Hisse Senedi Getirileri ile Döviz Kuru Arasındaki İlişkinin İncelenmesi: ARDL Yaklaşımı. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 45(1), 34-42.
- Bouri, E., Jain, A., Biswal, P. C., & Roubaud, D. (2017). Cointegration and Nonlinear Causality Amongst Gold, Oil, and the Indian Stock Market: Evidence from Implied Volatility Indices. Resources Policy, 52, 201-206.
- Chandrashekar, R., Sakthivel, P., Sampath, T., & Chittedi, K. R. (2018). Macroeconomic Variables and Stock Prices in Emerging Economies: A Panel Analysis. Theoretical & Applied Economics, 25(3), 91-100.
- Chkili, W. (2016). Dynamic Correlations and Hedging Effectiveness between Gold and Stock Markets: Evidence for BRICS Countries. Research in International Business and Finance, 38, 22-34.
- Chulia, H., Guillen, M., & Uribe, J. M. (2017). Measuring Uncertainty in the Stock Market. International Review of Economics & Finance, 48, 18-33.
- Diamandis, P. F., & Drakos, A. A. (2011). Financial Liberalization, Exchange Rates and Stock Prices: Exogenous Shocks in Four Latin America Countries. Journal of Policy Modeling, 33(3), 381-394.
- Dornbusch, R., & Fischer, S. (1980). Exchange Rates and the Current Account. American Economic Review, 70(5), 960-971.
- Dritsaki, M. (2005). Linkage between Stock Market and Macroeconomic Fundamentals: Case Study of Athens Stock Exchange. Journal of Financial Management and Analysis, 18(1), 38-47.
- Durukan, M. B. (1999). İstanbul Menkul Kıymetler Borsasında Makroekonomik Değişkenlerin Hisse Senedi Fiyatlarına Etkisi. İMKB Dergisi, 3(11), 19-47.
- El Abed, R., & Zardoub, A. (2019). Exploring the Nexus between Macroeconomic Variables and Stock Market Returns in Germany: An ARDL Co-Integration Approach. Theoretical & Applied Economics, 2(2), 139-148.
- Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276.
- Fama, E. F. (1981). Stock Returns, Real Activity, Inflation, and Money. The American Economic Review, 71(4), 545-565.
- Feldstein, M., & Horioka, C. (1980). Domestic Saving and International Capital Flows. The Economic Journal, 90(358), 314–329.
- Forson, J. A., & Janrattanagul, J. (2014). Selected Macroeconomic Variables and Stock Market Movements: Empirical Evidence from Thailand. Contemporary Economics, 8(2), 157-174.
- Gali, J., & Gambetti, L. (2015). The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence. American Economic Journal: Macroeconomics, 7(1), 233-257.
- Gan, C., Lee, M., Yong, H. H. A., & Zhang, J. (2006). Macroeconomic Variables and Stock Market Interactions: New Zealand Evidence. Investment Management and Financial Innovations, 3(4), 89-101.
- Geske, R., & Roll, R. (1983). The Fiscal and Monetary Linkage between Stock Returns and Inflation. The Journal of Finance, 38(1), 1-33.
- Goldberger, A. (1991). A Course in Econometrics. Cambridge, MA: Harvard University Press.
- Graham, M., Peltomaki, J., & Piljak, V. (2016). Global Economic Activity as an Explicator of Emerging Market Equity Returns. Research in International Business and Finance, 36, 424-435.
- Gujarati, D. (2011). Econometrics by Example (1st Edition). London: Palgrave Macmillan.
- Güriş, S., Çağlayan Akay, E., & Güriş, B. (2017). EViews ile Temel Ekonometri (3. Baskı). İstanbul: Der Kitabevi Yayınevi ve Dağıtım.
- Hosseini, S. M., Ahmad, Z., & Lai, Y. W. (2011). The Role of Macroeconomic Variables on Stock Market Index in China and India. International Journal of Economics and Finance, 3(6), 233-243.
- Hsu, K. C., & Chiang, H. C. (2011). Nonlinear Effects of Monetary Policy on Stock Returns in a Smooth Transition Autoregressive Model. The Quarterly Review of Economics and Finance, 51(4), 339-349.
- Huang, Z., & Huang, L. (2019). Individual New Energy Consumption and Economic Growth in China. North American Journal of Economics and Finance. 22 Temmuz 2019 tarihinde https://doi.org/10.1016/j.najef.2019.101010 adresinden erişildi.
- Humpe, A., & Macmillan, P. (2009). Can Macroeconomic Variables Explain Long-Term Stock Market Movements? A Comparison of the US and Japan. Applied Financial Economics, 19, 111-119.
- Jalil, A., Mahmood, T., & Idrees, M. (2013). Tourism–Growth nexus in Pakistan: Evidence from ARDL Bounds Tests. Economic Modelling, 35, 185-191.
- Jiang, Y., Fu, Y., & Ruan, W. (2019). Risk Spillovers and Portfolio Management between Precious Metal and BRICS Stock Markets. Physica A: Statistical Mechanics and its Applications. 23 Temmuz 2019 tarihinde https://doi.org/10.1016/j.physa.2019.04.229 adresinden erişildi.
- Johansen, S. (1988). Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics and Control, 12, 231-254.
- Johansen, S. (1995). Likelihood-Based Inference in Cointegrated Vector Autorregressive Models. New York: Oxford University Press Incorporated.
- Kandir, S. Y. (2008). Macroeconomic Variables, Firm Characteristics and Stock Returns: Evidence from Turkey. International Research Journal of Finance and Economics, 16, 35-45.
- Karan, M. B. (2011). Yatırım Analizi ve Portföy Yönetimi. Ankara: Gazi Kitabevi.
- Kremers, J. J. M., Ericsson, N. R., & Dolado, J. J. (1992). The Power of Cointegration Tests. Oxford Bulletin of Economics and Statistics, 54, 325-348.
- Kumar, A. (2011). An Empirical Analysis of Causal Relationship between Stock Market and Macroeconomic Variables India. International Journal of Computer Science & Management Studies, 11(1), 8-14.
- Kumar, S. (2019). Asymmetric Impact of Oil Prices on Exchange Rate and Stock Prices. The Quarterly Review of Economics and Finance, 72, 41-51.
- Laopodis, N. T. (2006). Dynamic Interactions among the Stock Market, Federal Funds Rate, Inflation, and Economic Activity. The Financial Review, 41, 513-545.
- Levine, R. (1991). Stock Markets, Growth, and Tax Policy. The Journal of Finance, 46(4), 1445-1465.
- Levine, R., & Zervos, S. (1998). Stock Market, Banks, and Economic Growth. The American Economic Review, 88(3), 537-558.
- Li, H. (2013). Integration Versus Segmentation in China's Stock Market: An Analysis of Time-Varying Beta Risks. Journal of International Financial Markets, Institutions and Money, 25, 88-105.
- Maghayereh, A. (2003). Causal Relations among Stock Prices and Macroeconomic Variables in the Small, Open Economy of Jordan. Journal of King Abdulaziz University: Economics and Administration, 17(2), 3-12.
- Majid, M. S. A., & Yusof, R. M. (2009). Long-Run Relationship between Islamic Stock Returns and Macroeconomic Variables: An Application of the Autoregressive Distributed Lag Model. Humanomics, 25(2), 127-141.
- Mensi, W., Hammoudeh, S., Nguyen, D. K., & Kang, S. H. (2016). Global Financial Crisis and Spillover Effects among the U.S. and BRICS Stock Markets. International Review of Economics & Finance, 42, 257-276.
- Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2014). Do Global Factors Impact BRICS Stock Markets? A Quantile Regression Approach. Emerging Markets Review, 19, 1-17.
- Mohammed, S. D., Hussain, A., Jalil, M. A., & Ali, A. (2009). Impact of Economics Variables on Stock Prices: Emperical Evidance in Case of KSE. European Journal of Scientific Research, 38(1), 96-103.
- Montes, G. C., & Tiberto, B. P. (2012). Macroeconomic Environment, Country Risk and Stock Market Performance: Evidence for Brazil. Economic Modelling, 29(5), 1666-1678.
- Moorkerjee, R., & Yu, O. (1997). Macroeconomic Variables and Stock Prices in a Small Open Economy: The Case of Singapore. Pasific-Basin Finance Journal, 5, 377-388.
- Mukherjee, T. T., & Naka, A. (1995). Dynamic Relations between Macroeconomic Variables and the Japanese Stock Market: An Application of a Vector Error Correction Model. The Journal of Financial Research, 18(2), 223-237.
- Murthy, V. N. R., & Okunade, A. A. (2016). Determinants of U.S. Health Expenditure: Evidence from Autoregressive Distributed Lag (ARDL) Approach to Cointegration. Economic Modelling, 59, 67-73.
- Nasseh, A., & Strauss, J. (2000). Stock Prices and Domestic and International Macroeconomic Activity: A Cointegration Approach. The Quarterly Review of Economics and Finance, 40(2), 229-245.
- Nusair, S. A. (2016). The Effects of Oil Price Shocks on the Economies of the Gulf Cooperation Council Countries: Nonlinear Analysis. Energy Policy, 91, 256-267.
- Pan, L., & Mishra, V. (2018). Stock Market Development and Economic Growth: Empirical Evidence from China. Economic Modelling, 68, 661-673.
- Perles-Ribes, J. F., Ramon-Rodriguez, A. B., Rubia, A., & Moreno-Izquierdo, L. (2017). Is the Tourism-Led Growth Hypothesis Valid after the Global Economic and Financial Crisis? The Case of Spain 1957-2014. Tourism Management, 61, 96-109.
- Perron, P. (1989). The Great Crash, the Oil-Price Shock, and the Unit Root Hypothesis. Econometrica, 57(6), 1361-1401.
- Pesaran, M. H., & Shin, Y. (1999). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis (Chapter 11). In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Cambridge University Press, 371-413.
- Pesaran, M. H., Shin, Y., & Smith, R. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16, 289-326.
- Raza, N., Shahzad, S. J. H., Tiwari, A. K., & Shahbaz, M. (2016). Asymmetric Impact of Gold, Oil Prices and their Volatilities on Stock Prices of Emerging Markets. Resources Policy, 49, 290-301.
- Sayılgan, G., & Süslü, C. (2011). Makroekonomik Faktörlerin Hisse Senedi Getirilerine Etkisi: Türkiye ve Gelişmekte Olan Piyasalar Üzerine Bir İnceleme. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 5(1), 73-96.
- Sellin, P. (2001). Monetary Policy and the Stock Market: Theory and Empirical Evidence. Journal of Economic Surveys, 15(4), 491-541.
- Sevinç, E. (2014). Makroekonomik Değişkenlerin, BIST-30 Endeksinde İşlem Gören Hisse Senedi Getirileri Üzerindeki Etkilerinin Arbitraj Fiyatlama Modeli Kullanarak Belirlenmesi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 43(2), 271-292.
- Shahzad, S. J. H., Nor, S. M., Ferrer, R., & Hammoudeh, S. (2017). Asymmetric Determinants of CDS Spreads: U.S. Industry-Level Evidence through the NARDL Approach. Economic Modelling, 60, 211-230.
- Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In: R. C. Sickles & W. C. Horrace (Ed.), Festschrift in Honor of Peter Schmidt Econometric Methods and Applications, Springer, New York, 281–314.
- Shrestha, M. B., & Bhatta, G. R. (2018). Selecting Appropriate Methodological Framework for Time Series Data Analysis. The Journal of Finance and Data Science, 4(2), 71-89.
- Singhal, S., Choudhary, S., & Biswal, P. C. (2019). Return and Volatility Linkages among International Crude Oil Price, Gold Price, Exchange Rate and Stock Markets: Evidence from Mexico. Resources Policy, 60, 255-261.
- Tadesse, S. (2004). The Allocation and Monitoring Role of Capital Markets: Theory and International Evidence. Journal of Financial and Quantitative Analysis, 39(4), 701-730.
- Thorbecke, W. (1997). On Stock Market Returns and Monetary Policy. The Journal of Finance, 52(2), 635-654.
- Tian, G. G., & Ma, S. (2010). The Relationship between Stock Returns and the Foreign Exchange Rate: The ARDL Approach. Journal of the Asia Pacific Economy, 15(4), 490-508.
- Vasudeva, N. R., Murthy, V. N. R., Albert, A., & Okunade, A. A. (2016). Determinants of U.S. Health Expenditure: Evidence from Autoregressive Distributed Lag (ARDL) Approach to Cointegration. Economic Modelling, 59, 67-73.
- Wang, Y., & Iorio, A. D. (2007). Are the China-Related Stock Markets Segmented with Both World and Regional Stock Markets? Journal of International Financial Markets, Institutions and Money, 17(3), 277-290.
- Wanzala, R. W. (2018). Estimation of Market Immediacy by Coefficient of Elasticity of Trading Three Approach. The Journal of Finance and Data Science, 4(3), 139-156.
- Wongswan, J. (2009). The Response of Global Equity Indexes to U.S. Monetary Policy Announcements. Journal of International Money and Finance, 28(2), 344-365.
- World Bank (2019a). Russian Federation Trade Statistics: Exports, Imports, Products, Tariffs, GDP and Related Development Indicator. World Integrated Trade Solution (WITS). 10 Ağustos 2019 tarihinde https://wits.worldbank.org/CountryProfile/en/RUS adresinden erişildi.
- World Bank (2019b). Turkey Trade Statistics: Exports, Imports, Products, Tariffs, GDP and Related Development Indicator. World Integrated Trade Solution (WITS). 11 Ağustos 2019 tarihinde https://wits.worldbank.org/CountryProfile/en/TUR adresinden erişildi.
- World Bank (2019c). Brazil Trade Statistics: Exports, Imports, Products, Tariffs, GDP and Related Development Indicator. World Integrated Trade Solution (WITS). 11 Ağustos 2019 tarihinde https://wits.worldbank.org/CountryProfile/en/BRA adresinden erişildi.
- Yılmaz, Ö., Güngör, B., & Kaya, V. (2008). Hisse Senedi Fiyatları ve Makroekonomik Değişkenler Arasındaki Eşbütünleşme ve Nedensellik. İMKB Dergisi, 9(34), 1-16.
- Yusof, R. M., & Majid, M. S. A. (2007). Macroeconomic Variables and Stock Returns in Malaysia: An Application of the ARDL Bound Testing Approach. Savings and Development, 31(4), 449-469.
- Zivot, E., & Andrews, D. W. K. (1992). Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis. Journal of Business & Economic Statistics, 10(3), 251-270.