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South African Journal of Economic and Management Sciences

versión On-line ISSN 2222-3436
versión impresa ISSN 1015-8812

S. Afr. j. econ. manag. sci. vol.13 no.3 Pretoria ene. 2010

 

ARTICLES

 

South Africa and United States stock prices and the Rand/Dollar exchange rate

 

 

Matthew Kofi Ocran

Department of Economics and Economic History, Nelson Mandela Metropolitan University

 

 


ABSTRACT

This paper seeks to examine the dynamic causal relations between the two major financial assets, stock prices of the US and South Africa and the rand/US$ exchange rate. The study uses a mixed bag of time series approaches such as cointegration, Granger causality, impulse response functions and forecasting error variance decompositions. The paper identifies a bi-directional causality from the Standard & Poor's 500 stock price index to the rand/US$ exchange rate in the Granger sense. It was also found that the Standard & Poor's stock price index accounts for a significant portion of the variations in the Johannesburg Stock Exchange's All Share index. Thus, while causality in the Granger sense could not be established for the relationship between the price indices of the two stock exchanges it can argued that there is some relationship between them. The results of the study have implications for both business and Government.

Keywords: Exchange rate, cointegration, stock price, impulse response, variance decomposition and Granger causality.

JEL: G15, F31


 

 

“Full text available only in PDF format”

 

 

References

ABDALLA, I.S.A. & MURINDE, V. 1997. Exchange rates and stock price interactions in emerging financial markets: evidence on India, Korea and the Philippines, Applied Financial Economics, 7: 25-35.         [ Links ]

AGGARWAL, R. 1981. Exchange rates and stock prices: a study of the U.S. capital markets under floating exchange rates, Akron Business and Economic Review, 12(Fall): 7-12.         [ Links ]

AMARE, T & MOHSIN, M. 2000. Stock prices and exchange rates in leading Asian economies: short run versus long run dynamics, Singapore Economic Review, 45(2): 165-181.         [ Links ]

AJAYI, R.A. & MOUGOUE, M. 1996. On the dynamic relation between stock prices and exchange rates, The Journal of Financial Research, 19: 193-207.         [ Links ]

BAHMANI-OSKOOEE, M. & SOHRABIAN, A. 1992. Stock prices and the effective exchange rate of the dollar, Applied Economics, 24(4): 459-464.         [ Links ]

BARTON, E. & BODNAR, G.M. 1994. Firm valuation, earning expectations, and the exchange rate exposure effect, Journal of Finance, 49(5): 1755-1786.         [ Links ]

DEKKER, A., SEN, K. & YOUNG, M.R. 2001. Equity market linkages in the Asia Pacific region: a comparison of the orthogonalized and generalized VAR approaches, Global Finance Journal, 12(1): 1-33.         [ Links ]

DICKEY, D.A. & FULLER, W.A. 1981. Likelihood ratio statistics for autoregressive time series with unit root, Econometrica, 49: 1057-1072.         [ Links ]

DOLADO, J.J., JENKINSON, T. & SOSVILLA- RIVERO, S. 1990. Co-integration and unit roots, Journal of Economic Surveys, 4: 249-273.         [ Links ]

DORNBUSCH, R. & FISCHER, S. 1980. Exchange rates and current account, American Economic Review, 70: 960-71.         [ Links ]

FRANCK, P. & YOUNG, A. 1972. Stock price reaction of multinational firms to exchange realignments, Financial Management, 1: 66-73.         [ Links ]

FRANKEL, J.A. 1993. Monetary and portfolio-balance models of the determination of exchange rates, in J. Bhandari and B. Putnam, (eds.) Economic interdependence and flexible exchange rates, MIT Press, Cambridge, MA 1983: 84-114.         [ Links ]

GRANGER, C.W.J. 1969. Investigating causal relations by econometric models and cross-spectral methods, Econome,rica, 37: 24-36.         [ Links ]

GRANGER, C.W.J., HUANG, B.N. & YANG, C.W. 1998. A bivariate causality between stock prices and exchange rates: evidence from recent Asian flu, Quarterly Review of Economics and Finance, 40: 337-354.         [ Links ]

GREGORY, A. & HANSEN, B. 1996. Residual-based tests for co-integration in models with regime shifts, Journal of Econome,rics, 70: 99-126.         [ Links ]

HACKER, R.S. & HATEMI-J, A. 2003. Is the J-curve effect observable for small North European economies? Open Economies Review, 14(2): 119-134.         [ Links ]

HARRIS, R. & SOLLIS, R. 2003. Applied time series modelling and forecasting, NJ: John Wiley and Sons Inc.         [ Links ]

NASDAQ 2007. National association of securities dealers automated quotation system fact sheet 2007.         [ Links ] [Online]: http://www.nasdaq.com/about/2008_Corporate_FS.pdf. [Available on May 2008].

NEWEY, W.K. & WEST, K.D. 1994. Automatic lag selection in covariance matrix estimation, Review of Economic Studies, 61(4): 631-53.         [ Links ]

NG, S. & PERRON, P. 2001. Lag length selection and the construction of unit root tests with goof size and power, Econometrica, 69: 1519-1554.         [ Links ]

OSTERWALD-LENUM, M. 1992. Practitioner's corner-a note with quantiles of the asymptotic distribution of the maximum likelihood co-integration rank test statistics, Oxford Bulle,in of Economics and Statistics, 54: 461-472.         [ Links ]

PEEL, D.A. & VENETIS, I.A. 2003. Purchasing power parity over two centuries: trends and non-linearity, Applied Economics, 35(5): 609-617.         [ Links ]

PESARAN, M.H. & SHIN, Y. 1998. Generalized impulse response analysis in linear multivariate models, Economic Letters, 58: 17-29.         [ Links ]

PHILLIPS, P.C.B. & PERRON, P. 1988. Testing for a unit root in time series regression, Biome,rika, 75: 335-346.         [ Links ]

PERRON, P. & NG, S. 1996. Useful modifications to some unit root tests with dependent errors and their local asymptotic properties, Review of Economic Studies, 63(3): 435-63.         [ Links ]

SMITH, C.E. 1992. Stock markets and the exchange rate: a multi-country approach, Journal of Macroeconomics, 14(4): 607-629.         [ Links ]

SOENEN, L.A. & HENNIGAR, E.S. 1988. An analysis of exchange rates and stock prices-the U.S. experience between 1980 and 1986, Akron Business and Economic Review, 19: 7-16.         [ Links ]

SOLNIK, B. 1987. Using financial prices to test exchange rate models: a note, Journal of Finance, 42: 141-9.         [ Links ]

WFE. 2007. Annual report and annual statistics 2006, World Federation of Stock Exchanges, Paris, France.         [ Links ]

YAU, H-Y. & NIEH, C-C. 2006. Interrelations among stock prices of Taiwan and Japan and the NTD/Yen exchange rate, Journal of Asian Economics, 17: 535-552.         [ Links ]

 

 

Accepted May 2010

 

 

Endnotes

1 The NYSE is also the biggest exchange in the world while the NASDAQ is in 3rd position in terms of market capitalisation.
2 NASDAQ stands for National Association of Securities Dealers Automated Quotations system; founded in 1971 it is the world's first electronic screen-based stock market; the NASDAQ exchange is uniquely dominated by technology stocks (NASDAQ, 2007).
3 This is defined as the total number of issued shares of domestic companies, including their several classes, multiplied by their respective prices at a given time. This figure reflects the comprehensive value of the market at that time (WFE, 2007).
4 The number three represents the number of variables in the present study.
5 The other major stock indices in the US are:
6 (1) Dow Jones Industrial Average (stocks of 30 large firms in the US - popular indicator;
(2) NYSE Composite Index (all companies listed on the NYSE);
(3) Nasdaq Composite Index (all companies quoted on the NASDAQ; technology-heavy);
(4) NASDAQ-100 Index (100 large NASDAQ stocks from the non-financial sector);
(5) S & Poor (500 large companies often used for general market analysis); Russell 2000 (small-cap stocks) and the Wilshire 5000 Index (represents US market).

 

 

Appendix

 

 

 

 

 

 

 

 

 

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