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Volatility Transmission in Financial Markets: A New Approach

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In this paper we suggest ways to characterize the transmission mechanisms of volatility between markets by making use of a new Markov Switching bivariate model where the state of one variable feeds into the transition probability of the state of the other. The comparison between this model and other Markov Switching models allows us to derive statistical tests stressing the role of one market relative to another (contagion, interdependence, comovement, independence, Granger causality). We estimate the model on the weekly high–low range of several Asian markets, with a specific interest in the role of Hong Kong.

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  • Giampiero M. Gallo & Edoardo Otranto, 2005. "Volatility Transmission in Financial Markets: A New Approach," Econometrics Working Papers Archive wp2005_10, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    • Handle: RePEc:fir:econom:wp2005_10
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    7. Kristin Forbes & Roberto Rigobon, 1999. "No Contagion, Only Interdependence: Measuring Stock Market Co-movements," NBER Working Papers 7267, National Bureau of Economic Research, Inc.
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    9. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
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    Cited by:

    1. George Horia Ionescu & DragoÅŸ Mihai Ungureanu & Ruxandra Dana Vilag & Florian Bogdan Stoian, 2009. "Financial Contagion And Investors Behavior," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-57.

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