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Spillover Effects in the Volatility of Financial Markets

Listed author(s):
  • E. Otranto

    ()

Recent econometric and statistical models for the analysis of volatility in financial markets serve the purpose of incorporating the effect of other markets in their structure, in order to study the spillover or the contagion phenomena. Extending the Multiplicative Error Model we are able to capture these characteristics, under the assumption that the conditional mean of the volatility can be decomposed into the sum of one component representing the proper volatility of the time series analyzed, and other components, each representing the volatility transmitted from one other market. Each component follows a proper dynamics with elements that can be usefully interpreted. This particular decomposition allows to establish, each time, the contribution brought by each individual market to the global volatility of the market object of the analysis. We experiment this model with four stock indices.

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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 201217.

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Date of creation: 2012
Handle: RePEc:cns:cnscwp:201217
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  7. E. Otranto, 2012. "The Markov Switching Asymmetric Multiplicative Error Model," Working Paper CRENoS 201205, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  8. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2006. "Vector Multiplicative Error Models: Representation and Inference," NBER Working Papers 12690, National Bureau of Economic Research, Inc.
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