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dc.contributor.authorRoy, Ram Babu
dc.contributor.authorSarkar, Uttam Kumar
dc.descriptionRoy, Ram Babu, Indian Institute of Management Calcutta, Kolkata, 700 104, India; Sarkar, Uttam Kumar, Indian Institute of Management Calcutta, Kolkata, 700 104, India
dc.descriptionISSN/ISBN - 18770509
dc.descriptionDOI - 10.1016/j.procs.2011.07.057
dc.description.abstractWe have proposed a method to rank the stock indices from across the globe using social network analysis approach. The temporal evolution of correlation network and Minimum Spanning Tree (MST) of global stock indices have been analyzed using weekly returns of 93 stock indices for five-year period from the year 2006 through 2010 obtained from Bloomberg. We have chosen this period to study the behaviour of the stock market network before and after the collapse of Lehman Brothers in the USA. Our study attempts to answer the questions about identifying the most influential stock indices in the global stock market, regional influence on the comovement of stock indices, and the impact of the collapse of Lehman Brothers in the USA and the associated global financial crisis that followed on the dynamics of stock market network. © 2011 Published by Elsevier Ltd.
dc.publisherProcedia Computer Science
dc.publisherElsevier B.V.
dc.subjectFinancial crisis
dc.subjectMinimum spanning tree
dc.subjectSocial network
dc.subjectStock market indices
dc.titleIdentifying influential stock indices from global stock markets: A social network analysis approach
dc.typeConference Paper
Appears in Collections:Management Information Systems

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