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A Hybrid Approach to Explore the Risk Dependency Structure among Agribusiness Firms

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  • Zhimei Lei

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Kuo-Jui Wu

    (School of Business, Dalian University of Technology, Panjin 124221, China)

  • Li Cui

    (School of Business, Dalian University of Technology, Panjin 124221, China
    China Business Executives Academy, Dalian 116086, China)

  • Ming K Lim

    (College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
    Centre for Business in Society, Coventry University, Coventry CV1 5FB, UK)

Abstract

Although the risk management of agricultural firms is important, studies on the extreme risk dependence among agribusiness firms are minimal due to the diversity and complexity of the risks faced by agricultural firms. In this study, we developed a hybrid approach to analyse and uncover the potential risk dependence among agricultural firms. We examined thirty-two agricultural companies to study their dependence structure for risk losses. Three primary findings emerged. First, risk dependence is strong with an average value of 0.96. Second, the dependence structure is hierarchical and includes two network communities. Third, some key agricultural firms were identified in the dependence structure. These key firms are critical for the transmission of negative impacts across agricultural firms. Correspondingly, we suggest measures and strategies (such as improving the level of technological innovation and joint risk resistance capability) to reduce the impact of risk dependence.

Suggested Citation

  • Zhimei Lei & Kuo-Jui Wu & Li Cui & Ming K Lim, 2018. "A Hybrid Approach to Explore the Risk Dependency Structure among Agribusiness Firms," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:533-:d:132141
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    1. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economic Reports 34081, United States Department of Agriculture, Economic Research Service.
    2. P. Hartmann & S. Straetmans & C. G. de Vries, 2004. "Asset Market Linkages in Crisis Periods," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 313-326, February.
    3. Andrew J. Patton, 2004. "On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 130-168.
    4. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    5. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    6. Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
    7. Gao, Baojun & Chan, Wai Kin (Victor) & Li, Hongyi, 2015. "On the increasing inequality in size distribution of China's listed companies," China Economic Review, Elsevier, vol. 36(C), pages 25-41.
    8. Aloui, Riadh & Aïssa, Mohamed Safouane Ben & Nguyen, Duc Khuong, 2011. "Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure?," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 130-141, January.
    9. Andrew Worthington & Abbas Valadkhani, 2004. "Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis," Applied Economics, Taylor & Francis Journals, vol. 36(19), pages 2177-2186.
    10. Chesney, Marc & Reshetar, Ganna & Karaman, Mustafa, 2011. "The impact of terrorism on financial markets: An empirical study," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 253-267, February.
    11. Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173, March.
    12. Bourdeau-Brien, Michael & Kryzanowski, Lawrence, 2017. "The impact of natural disasters on the stock returns and volatilities of local firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 259-270.
    13. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.
    14. Marcello Pericoli & Massimo Sbracia, 2003. "A Primer on Financial Contagion," Journal of Economic Surveys, Wiley Blackwell, vol. 17(4), pages 571-608, September.
    15. József Varga & Zoltán Sipiczki, 2015. "The financing of the agricultural enterprises in Hungary between 2008 and 2011," Proceedings of Economics and Finance Conferences 2204355, International Institute of Social and Economic Sciences.
    16. Brida, Juan Gabriel & Risso, Wiston Adrián, 2008. "Multidimensional minimal spanning tree: The Dow Jones case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5205-5210.
    17. Lin Wang & Ali M Kutan, 2013. "The Impact of Natural Disasters on Stock Markets: Evidence from Japan and the US," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(4), pages 672-686, December.
    18. Polanski, Arnold & Stoja, Evarist & Zhang, Ren, 2013. "Multidimensional risk and risk dependence," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3286-3294.
    19. Dirk Helbing, 2013. "Globally networked risks and how to respond," Nature, Nature, vol. 497(7447), pages 51-59, May.
    20. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    21. Lee, Junghoon & Youn, Janghyuk & Chang, Woojin, 2012. "Intraday volatility and network topological properties in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1354-1360.
    22. J. C. Gower & G. J. S. Ross, 1969. "Minimum Spanning Trees and Single Linkage Cluster Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 18(1), pages 54-64, March.
    23. Valizadeh, Pourya & Karali, Berna & Ferreira, Susana, 2017. "Ripple effects of the 2011 Japan earthquake on international stock markets," Research in International Business and Finance, Elsevier, vol. 41(C), pages 556-576.
    24. Rafat A. M. E. Soboh & Alfons Oude Lansink & Gerard Giesen & Gert van Dijk, 2009. "Performance Measurement of the Agricultural Marketing Cooperatives: The Gap between Theory and Practice," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 446-469, September.
    25. Rafat A. M. E. Soboh & Alfons Oude Lansink & Gerard Giesen & Gert van Dijk, 2009. "Performance Measurement of the Agricultural Marketing Cooperatives: The Gap between Theory and Practice," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 446-469.
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