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Dynamic Relations Between Macroeconomic Factors and the Jordanian Stock Market

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  • Al-Sharkas, A.A.

Abstract

Previous research has hypothesized the existence of a long-term equilibrium relation between stock prices and certain macroeconomic variables. The vector error correction model (VECM) (Johansen (1991)) is utilized to determine the impact of selected macroeconomic variables on Amman Stock Exchange (ASE). The variables are the real economic activity, money supply, inflation, and interest rate. The empirical results show that the stock prices and macroeconomics variables have a long-term equilibrium relation.

Suggested Citation

  • Al-Sharkas, A.A., 2004. "Dynamic Relations Between Macroeconomic Factors and the Jordanian Stock Market," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 1(1), pages 97-114.
    • Handle: RePEc:eaa:ijaeqs:v:1:y2004:i:1_5
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    References listed on IDEAS

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    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    3. Geske, Robert & Roll, Richard, 1983. "The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
    4. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    5. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    6. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    7. Tarun K. Mukherjee & Atsuyuki Naka, 1995. "Dynamic Relations Between Macroeconomic Variables And The Japanese Stock Market: An Application Of A Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, June.
    8. Darrat, Ali F. & Mukherjee, Tarun K., 1986. "The behavior of the stock market in a developing economy," Economics Letters, Elsevier, vol. 22(2-3), pages 273-278.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Hamao, Yasushi, 1988. "An empirical examination of the Arbitrage Pricing Theory : Using Japanese data," Japan and the World Economy, Elsevier, vol. 1(1), pages 45-61, October.
    11. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    12. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    13. Hafer, R W & Jansen, Dennis W, 1991. "The Demand for Money in the United States: Evidence from Cointegration Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(2), pages 155-168, May.
    14. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    15. Homa, Kenneth E & Jaffee, Dwight M, 1971. "The Supply of Money and Common Stock Prices," Journal of Finance, American Finance Association, vol. 26(5), pages 1045-1066, December.
    16. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    17. Mukherjee, Tarun K & Naka, Atsuyuki, 1995. "Dynamic Relations between Macroeconomic Variables and the Japanese Stock Market: An Application of a Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, Summer.
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    Cited by:

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    2. Joseph Ato Forson & Jakkaphong Janrattanagul, 2014. "Selected Macroeconomic Variables and Stock Market Movements: Empirical evidence from Thailand," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(2), June.
    3. Şebnem Er & Bengü Vuran Author-Workplace-Name: Teaching and Research Assistant, PhD, Istanbul University, Faculty of Business Administration, Finance Department, 2012. "Factors Affecting Stock Returns of Firms Quoted in ISE Market: A Dynamic Panel Data Approach," International Journal of Business and Social Research, LAR Center Press, vol. 2(1), pages 108-121, February.
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    5. Animesh Bhattacharjee & Joy Das, 2022. "Assessing the long-run and short-run effect of monetary variables on stock market in the presence of structural breaks: evidence from liberalised India," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(2), pages 121-131, December.
    6. Shahbaz, Muhammad & Ur Rehman, Ijaz & Zainudin, Rozaimah, 2013. "Macroeconomic Determinants of Stock Market Capitalization in Pakistan:Fresh Evidence from Cointegration with unknown Structural breaks," MPRA Paper 52490, University Library of Munich, Germany, revised 24 Dec 2013.
    7. Ogbulu & Onyemachi Maxwell & Ajibola & Nwakanma, 2014. "Equity Risk Premium, Macro-Economic Variables and Co-Integration: Evidence from Nigeria," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 2(2), pages 83-95.
    8. Manamba EPAPHRA & Evidence SALEMA, 2018. "The impact of macroeconomic variables on stock prices in Tanzania," Journal of Economics Library, KSP Journals, vol. 5(1), pages 12-41, March.
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    10. David UMORU & Alexander Olawumi DABOR, 2019. "Empirical Analysis Of The Relationship Between Macroeconomic Factors And Stock Returns In Nigeria," Management Strategies Journal, Constantin Brancoveanu University, vol. 43(1), pages 38-46.
    11. ALAM Nafis & TAN Ee Chain, 2012. "Impact Of Financial Crisis On Stock Returns: Evidence From Singapore," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 7(2), pages 5-19, August.
    12. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    13. Mihovil An?elinovi? & Livija Valenti? & Ana Pavkovi?, 2020. "Equity Fund Performance and Sector Diversification," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 9(1), pages 25-43, June.
    14. Sumit Kumar Maji & Arindam Laha & Debasish Sur, 2020. "Dynamic Nexuses between Macroeconomic Variables and Sectoral Stock Indices: Reflection from Indian Manufacturing Industry," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(3), pages 239-269, August.
    15. Husam RJOUB & Irfan CIVCIR & Nil Gunsel RESATOGLU, 2017. "Micro and Macroeconomic Determinants of Stock Prices: The Case of Turkish Banking Sector," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 150-166, March.
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    17. Şebnem Er & Bengü Vuran Author-Workplace-Name: Teaching and Research Assistant, PhD, Istanbul University, Faculty of Business Administration, Finance Department, 2012. "Factors Affecting Stock Returns of Firms Quoted in ISE Market: A Dynamic Panel Data Approach," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(1), pages 108-121, February.

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    More about this item

    Keywords

    Stock Market; Dynamic Relations; Cointegration; Jordan;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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