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The effects of business cycle indicators on stock market indices of food industry in Iran

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  • Mohammadi, H.
  • Abolhasani, L.
  • Shahnoushi, N.
  • Shabanian, F.

Abstract

This paper investigates the effects of the business cycle indicators on stock market indices of food industry companies in Iran stock market. Using dynamic panel and Panel VAR methods for seasonal data of 2001-2015, the results show that the effect of GDP and agricultural value-added as indicators of business cycle on stock market indices of sales volume, price index, net profit and stock return are positive. The results of panel VAR models also show that the shocks entered by GDP and agricultural value ?added have a different effect on stock market indices of sales volume, price index, net profit and ?stock return. Due to the positive effects of the business cycles indicators on the stock market indices of food industry companies, it is recommended that policy-makers consider strategies to increase GDP and agriculture value-added. Acknowledgement : I am attaching herewith a manuscript entitled ?The Impacts of Business Cycle Indicators on Stock Market Indices of Food Industry for the 30th international conference of agricultural economics. With the submission of this manuscript, I would like to undertake that the above-mentioned manuscript has not been published elsewhere, accepted for publication elsewhere or under editorial review for publication elsewhere. Please don't hesitate to contact me for further information. Thanks in advance for your time and consideration. Sincerely Hosein Mohammadi, Associate Professor of Agricultural Economics Ferdowsi University of Mashhad, Iran

Suggested Citation

  • Mohammadi, H. & Abolhasani, L. & Shahnoushi, N. & Shabanian, F., 2018. "The effects of business cycle indicators on stock market indices of food industry in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277425, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277425
    DOI: 10.22004/ag.econ.277425
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    1. Michael Fritsch & Alexander S. Kritikos & Katharina Pijnenburg, 2013. "Business Cycles, Unemployment and Entrepreneurial Entry: First Evidence from Germany," Discussion Papers of DIW Berlin 1281, DIW Berlin, German Institute for Economic Research.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Chang, Kuang-Liang, 2009. "Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model," Economic Modelling, Elsevier, vol. 26(6), pages 1283-1299, November.
    4. Art Durnev & Kan Li & Randall Mørck & Bernard Yeung, 2004. "Capital markets and capital allocation: Implications for economies in transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(4), pages 593-634, December.
    5. He, Qing & Tai-Leung Chong, Terence & Shi, Kang, 2009. "What accounts for Chinese Business Cycle?," China Economic Review, Elsevier, vol. 20(4), pages 650-661, December.
    6. Smimou, K. & Khallouli, W., 2015. "Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?," Emerging Markets Review, Elsevier, vol. 25(C), pages 125-153.
    7. Zhu, Yanjian & Zhu, Xiaoneng, 2014. "European business cycles and stock return predictability," Finance Research Letters, Elsevier, vol. 11(4), pages 446-453.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    10. Gubler, Matthias & Hertweck, Matthias S., 2013. "Commodity price shocks and the business cycle: Structural evidence for the U.S," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 324-352.
    11. Florackis, Chris & Giorgioni, Gianluigi & Kostakis, Alexandros & Milas, Costas, 2014. "On stock market illiquidity and real-time GDP growth," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 210-229.
    12. Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2014. "The relationship between oil prices and the Nigerian stock market. An analysis based on fractional integration and cointegration," Energy Economics, Elsevier, vol. 46(C), pages 328-333.
    13. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    14. Thomas Nitschka, 2013. "The impact of (global) business cycle risk on the German and British stock markets: Evidence from the first age of globalization," Review of Financial Economics, John Wiley & Sons, vol. 22(3), pages 118-124, September.
    15. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2009. "Volatility Dynamics of the UK Business Cycle: a Multivariate Asymmetric Garch Approach," Economie Internationale, CEPII research center, issue 117, pages 31-46.
    16. Chatterjee, Ujjal K., 2016. "Do stock market trading activities forecast recessions?," Economic Modelling, Elsevier, vol. 59(C), pages 370-386.
    17. Fritsch, Michael & Kritikos, Alexander S. & Pijnenburg, Katharina, 2013. "Business Cycles, Unemployment and Entrepreneurial Entry: Evidence from Germany," IZA Discussion Papers 7852, Institute of Labor Economics (IZA).
    18. 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.
    19. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    21. 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.
    22. Vu, Nam T., 2015. "Stock market volatility and international business cycle dynamics: Evidence from OECD economies," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 1-15.
    23. Robert E. Lucas Jr., 2003. "Macroeconomic Priorities," American Economic Review, American Economic Association, vol. 93(1), pages 1-14, March.
    24. Trabelsi Mnif, Afef, 2017. "Political uncertainty and behavior of Tunisian stock market cycles: Structural unobserved components time series models," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 206-214.
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