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THE CAUSAL RELATIONSHIP BETWEEN STOCK PRICES AND EXCHANGE RATES: PANEL GRANGER CAUSALITY EVIDENCE FROM EMERGING AND DEVELOPED MARKETS

Journal Name:

  • International Journal of Academic Value Studies

Publication Year:

  • 2017

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
The financial literature has paid increasing attention to the relationship between stock prices and exchange rates. This study examines the relationship between these variables using a newly developed heterogeneous panel Granger causality test robust to cross-sectional dependency for 21 emerging and 22 developed markets. Panel results show a unidirectional causality relationship between the variables for both emerging and developed markets, running from stock prices to exchange rates. Additionally, in most cases, country-specific results also support the panel results, indicating the same unidirectional causality for 13 emerging markets (approximately 62 %) and 15 developed markets (approximately 68 %). The opposite link is found for only one emerging market. As such, we conclude that the stock-oriented model is valid for most of emerging and developed markets. That is, in both emerging and developed markets, a change in stock markets causes a change in exchange rate markets in most cases. These findings have important policy implications.
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REFERENCES

References: 

Abouwafia, H.E. & Chambers, M.J. (2015). “Monetary Policy, Exchange Rates and Stock Prices in the Middle East Region”, Int. Rev. Financ. Anal., 37, 14–28.
Aggarwal, R. (1981). “Exchange Rates and Stock Prices: A Study Of The US Capital Markets Under Floating Exchange Rates”, Akron Bus. Econ. Rev., 12, 7–12.
Baltagi, B. (2009). Econometric Analysis of Panel Data, John Wiley & Sons.
Breusch, T.S. & Pagan, A.R. (1980). “ The Lagrange Multiplier Test and Its Application to Model Specifications in Econometrics”, Rev.Econ. Stud,. 47, 239–253.
Caporale, G.M., Hunter, J. & Ali, F.M. (2014). “On the Linkages Between Stock Prices and Exchange Rates: Evidence from the Banking Crisis of 2007–2010”, Int. Rev. Financ. Anal., 33, 87–103.
Chang, T., Gatwabuyege, F., Gupta, R., Inglesi-Lotz, R., Simo-Kengne, B.D., Smithers, D. & Trembling, A. (2015). “Renewable Energy and Growth: Evidence from Heterogeneous Panel of G7 Countries using Granger Causality”, Renew. Sustain. Energy Rev.,52, 1405–1412.
Chiang, T.C., Yang, S.Y. & Wang, T.S. (2000). “Stock Return and Exchange Rate Risk: Evidence from Asian Stock Markets based on A Bivariate GARCH Model”, Int. J. Bus.2, 97–117.
Javstudies.com Javstudies@gmail.com International Journal of Academic Value Studies
International Journal of Academic Value Studies ISSN:2149-8598 Vol: 3, Issue: 15 pp.39-49
46
Diamandis, P.F. & Drakos A. A. (2011). “Financial Liberalization, Exchange Rates and Stock Prices: Exogenous Shocks in Four Latin America Countries”, J. Policy Model., 33, 381–394
Dickey, D.A. & Fuller, W.A. (1981). “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Econometrica, 49, 1057–1072.
Dornbusch, R. & Fischer, S. (1980). “ Exchange Rates and Current Account”, Am.Econ. Rev., 70, 960–971.
Emirmahmutoglu, F. & Kose, N. (2011). “Testing for Granger Causality in Heterogeneous Mixed Panels”, Econ. Model., 28, 870–876.
Fernandez, V. (2006). “External Dependence in European Capital Markets”, J. Appl. Econ., 9 (2), 275–293.
Fisher, R.A. (1932). Statistical Methods for Research Workers, (4th ed.) Oliver and Boyd, Edinburgh.
Frankel, J.A. (1983). “Monetary and Portfolio Balance Model of Exchange Rate Determination in Economic Interdependence And Flexible Exchange Rates”, in: Bhandai, J.S., Putnam, B.H. (Eds.), Economic Interdependence and Flexible Exchange Rates, MIT Press, Cambridge.
Gavin, M. (1989). “The Stock Market and Exchange Rate Dynamics”. J.Int. Money Financ., 8,181–200.
Hatemi, J.A. & Irandoust, M. (2002). “On the Causality Between Exchange Rates and Stock Prices: A Note”, Bull. Econ. Res., 54,197–203.
IMF, International Monetary Fund. Annual Report on Exchange Arrangements and Exchange Restrictions, 2014. https://www.imf.org/external/pubs/nft/2014/areaers/ar2014.pdf/ (accessed 12.02.2016).
Krueger, A.O. (1983). Exchange-rate Determination, Cambridge University Press, Cambridge.
Liang, C-C., Lin, J-B. & Hsu, H-C. (2013). “Re-Examining the Relationship Between Stock Prices and Exchange Rates in ASEAN-5 Using Panel Granger Causality Approach”, Econ. Model., 32, 560–563.
Liu, L. & Wan J. (2012). “The Relationship between Shanghai Stock Market And CNY/USD Exchange Rate: New Evidence based on Cross-Correlation Analysis, Structural Cointegration and Nonlinear Causality Test”, Physica A, 391, 6051–6059.
Nieh, C-C. & Lee, C-F. (2001). “Dynamic Relationship between Stock Prices and Exchange Rates for G-7 Countries”, Q. Rev, Econ. Financ., 41, 477–490.
Pan, M-S., Fok, R.C-H. & Liu, Y. A. (2007). “Dynamic Linkages between Exchange Rates and Stock Prices: Evidence from East Asian Markets”, Int. Rev. Econ. Financ., 16, 503–520.
Pesaran, M.H. (2004). “General Diagnostic Tests for Cross Section Dependence in Panels”, Cambridge Working Papers in Economics No. 0435, Faculty of Economics, University of Cambridge.
Pesaran, M.H. (2006). “ Estimation and Inference in Large Heterogeneous Panel with a Multi-Factor Error Structure”, Econometrica, 74, 967–1012.
Pesaran, M.H. & Yamagata, T. (2008). “Testing Slope Homogeneity in Large Panels”, J. Econom.,142,50–93.
Phillips, P.C.B. & Perron, P. (1988). “Testing for a Unit Root in Time Series Regression”, Biometrika 75, 335-346.
Romero-Avila, D. (2008). “Questioning the Empirical basis of the Environmental Kuznets Curve for CO2: New Evidence from A Panel Stationary Test robust to Multiple Breaks and Cross-Dependence”, Ecol. Econ.,64, 559–574.
Solnik, B. (1987). “Using Financial Prices to Test Exchange Rate Models: A Note”, J. Financ., 42,141–149.
Swamy, P.A.V.B. (1970). “Efficient Inference in a Random Coefficient Regression Model”, Econometrica, 38, 311–323.
Javstudies.com Javstudies@gmail.com International Journal of Academic Value Studies
International Journal of Academic Value Studies ISSN:2149-8598 Vol: 3, Issue: 15 pp.39-49
47
Stine, R.A. (1987). “Estimating Properties of Autoregressive Forecasts”, J.Am. Stat. Assoc., 82,1072–1078.
Toda, H.Y. & Yamamoto, T. (1995). “Statistical Inference Invector Autoregressions with Possibly Integrated Processes”, J. Econom., 66, 225–250.
Tsai, C. (2012). “The Relationship Between Stock Price Index and Exchange Rate in Asian Markets: A Quantile Regression Approach”, J. Int. Financ. Mark. Instit. Money 22, 609–621.
Wolde-Rufael, Y. (2014). “Electricity Consumption and Economic Growth in Transition Countries: A Revisit Using Bootstrap Panel Granger Causality Analysis”, Energy Econ., 44, 325–330.
Wu, Y. (2000). “Stock Prices and Exchange Rates in a VEC Model–The Case of Singapore in the 1990s”, J. Econ. Financ., 24, 260–274.
Yamada, H. & Toda, H.Y. (1998). “Inference in Possibly Integrated Vector Autoregressive Models: Some Finite Sample Evidence”, J. Econom., 86, 55–95.
Yau, H.Y. & Nieh, C.C. (2009). “ Testing for Cointegration with Threshold Effect Between Stock Prices and Exchange Rates in Japan and Taiwan”, Jpn.World Econ.,21, 292–300.
Zhao, H. (2010). “Dynamic Relationship between Exchange Rate and Stock Price: Evidence from China”, Res. Int. Bus. Financ., 24, 103–112.

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