Abstract
In this article we propose a two step procedure for modeling the propagation of financial shocks. The first step consists in the estimation, by means of SWARCH models, of the conditional probability of being in a period of high volatility, while in the second step such indicators are included in a structural simultaneous equations models for interdependences among different countries. The results show that episodes of financial crisis effectively happened during periods of high volatility and that such measures of instability are important in explaining the propagation of devaluation expectations between six European Countries during the ERM period.
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Notes
Higgs and Worthington (2004) is an interesting application to the transmission of volatility among eight major art markets.
In this part of the analysis, we prefer concentrating on the growth rate of the series, in order to avoid non-stationarity, which in fact con not be rejected with the standard unit root tests.
A weak signal of the presence of structural breaks can be found for the Italian spread around the end of the sample. The null hypothesis, however, cannot be rejected at the 1% significant level.
References
Billio M, Lo Duca M and Pelizzon L (2005) Contagion detection with switching regimes models: a short and long run analysis. GRETA Working Paper 0501
Dungey M, Fry R, González-Hermosillo B and Martin VL (2005) Empirical modelling of contagion: a review of methodologies. Quant Finance 5:9–24
Edwards S (1998) Interest rate volatility, contagion and convergence: an empirical investigation of the cases of Argentina, Chile and Mexico. J Appl Econ 1:55–86
Eichengreen B, Rose AK, Wyplosz C (1996) Contagious currency crises: first tests. Scand J Econ 98:463–484
Engle RF (2002) Dynamic conditional correlation: a simple case of multivariate generalized autoregressive conditional heteroskedasticity models. J Bus Econ Stat 20:339–350
Engle RF, Kroner K (1995) Multivariate simultaneous GARCH. Econ Theory 11:122–150
Esquivel G, Larraín BF (1998) Explaining currency crises. Harvard University, Mimeo
Favero CA, Giavazzi F (2002) Is the international propagation of financial shocks non-linear? Evidence from the ERM. J Int Econ 57:231–246
Forbes K, Rigobon R (2002) No contagion, only interdependence: measuring stock market comovements. J Finance 57:2223–2261
Fratzscher M (2003) On currency crises and contagion. Int J Finance Econ 8:109–129
Gallo GM, Otranto E (2007) Volatility transmission across markets: a multichain Markov switching model. Appl Finance Econ 17:659–670
Hamao Y, Masulis R, Ng V (1990) Correlations in price changes and volatility across international stock markets. Rev Finance Stud 3:281–307
Hamilton JD (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57:357–384
Hamilton JD, Susmel R (1994) Autoregressive conditional heteroskedasticity and changes in regime. J Econ 64:307–333
Higgs H, Worthington AC (2004) Transmission of returns and volatility in art markets: a multivariate GARCH analysis. Appl Econ Lett 11:217–222
Jeanne O, Masson P (2002) Currency crises, sunspots and Markov-switching regimes. J Int Econ 50:327–350
King MA, Wadhwani S (1990) Transmission of volatility between stock markets. Rev Finance Stud 3:5–33
Kruger M, Osakwe PN, Page J (1998) Fundamentals, contagion and currency crises: an empirical analysis. Bank of Canada Working Paper 98-10
Kumar M, Moorthy U, Perraudin W (2002) Predicting emerging market currency crashes. IMF Working Paper 02/7
Massacci D (2007) Identification and estimation in an incoherent model of contagion. Cambridge University, Mimeo
Masson P (1999) Contagion: monsoonal effects, spillovers, and jumps between multiple equilibria. In: Agenor PR, Miller M, Vines D, Weber D (eds) The Asian financial crisis: causes, contagion and consequences. Cambridge University Press, Cambridge
Pesaran MH, Pick A (2007) Econometric issues in the analysis of contagion. J Econ Dyn Control 31:1245–1277
Rigobon R (2003a) Identification through heteroskedasticity. Rev Econ Stat 85:777–792
Rigobon R (2003b) On the measurement of the international propagation of shocks: is the transmission stable? J Int Econ 61:261–283
Stone MR, Weeks M (2001) Systemic financial crises, balance sheets, and model uncertainty. IMF Working Paper 01/162
Tse YK, Tsui AKC (2002) A multivariate generalized autoregressive conditional heteroskedasticity model with time-varying correlations. J Business Econ Stat 20:351–362
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Bacchiocchi, E., Bevilacqua, M. International crises, instability periods and contagion: the case of the ERM. Int Rev Econ 56, 105–122 (2009). https://doi.org/10.1007/s12232-009-0064-y
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DOI: https://doi.org/10.1007/s12232-009-0064-y