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The effect of interconnectivity on stock returns during the Global Financial Crisis
Affiliation:1. School of Economics, Jinan University, Guangzhou 510630, China;2. School of Business Administration, South China University of Technology, Guangzhou 510640, China;1. Fluminense Federal University, Department of Economics and National Council for Scientific and Technological Development (CNPq), Brazil;2. Fluminense Federal University, Department of Economics/FGV EPGE, Brazil;1. Department of Risk Management and Insurance, Tamkang University, 151, Yingzhuan Rd., Tamsui Dist., New Taipei City 25137, Taiwan;2. Department of Risk Management and Insurance, Risk and Insurance Research Center, College of Commerce, National Chengchi University, 64, Sec. 2, Zhi-Nan Road, Wen-Shan District, Taipei 11605, Taiwan;1. School of Finance, Anhui University of Finance and Economics, Bengbu 233030, Anhui, PR China;2. College of Business, Zayed University, P.O. Box 144534. Abu Dhabi, United Arab Emirates;1. Department of Business Administration, Konkuk University, Gwangjin‐gu, Seoul 05029, Republic of Korea;2. Department of Finance, Dong-A University, 225, Gudeok-ro, Seo-gu, Busan 49236, Republic of Korea
Abstract:This paper examines the role of interconnectivity in global stock markets during the Global Financial Crisis (GFC) using a comprehensive dataset of 8,827 firms traded in developed and emerging markets. Our contribution includes two key findings. We first use a difference-in-differences approach to show that stocks in countries with higher trade openness ex-ante to the GFC experienced lower average and annual cumulative returns of 9.08 p.p. and 36.32 p.p., respectively, compared to stocks traded in less exposed countries, one year after the crisis outbreak. Second, we employ complex network theory to analyze the role of network interconnectedness in our baseline results. To construct the network of interdependence between stock returns, we utilize a regularized Vector Autoregression Model, which enables us to overcome the limitations of commonly used correlation networks. Our findings suggest that while a firm’s high connectivity before the crisis can alleviate adverse shock effects resulting from export dependence, this effect may be weakened if the firm’s performance is closely linked to central firms.
Keywords:Global Financial Crisis  Stock returns  Difference-in-differences  Complex networks
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