Sudden changes in volatility: The case of five central European stock markets

This paper investigates sudden changes in volatility in the stock markets of new European Union (EU) members by utilizing the iterated cumulative sums of squares (ICSS) algorithm. Using weekly data over the sample period 1994-2006, the time period of sudden change in variance of returns and the length of this variance shift are detected. A sudden change in volatility seems to arise from the evolution of emerging stock markets, exchange rate policy changes and financial crises. Evidence also reveals that when sudden shifts are taken into account in the GARCH models, the persistence of volatility is reduced significantly in every series. It suggests that many previous studies may have overestimated the degree of volatility persistence existing in financial time series

Can the persistence of a currency crisis be explained by fundamentals? Markov switching models for exchange market pressure

This paper investigates the contribution of fundamentals to the persistence of currency crises by identifying the determinants of high volatility in the exchange market pressure index (empi) for some new EU member states. The Markov switching model is utilised to identify the high volatility of empi, and a linear regression analysis is conducted to find the sources of the transition probability of the high volatility regime. The evidence does not seem to provide strong support for macroeconomic fundamentals, whereas it highlights the adverse movement of interest rates as the major determinant of the persistence of the currency crisis

The determinants of vulnerability to crisis: Country-specific factors versus regional factors

We investigate the determinants of exchange market pressures (EMP) for some new EU member states in two dimensions of national and regional levels, where macroeconomic and financial variables are considered as potential sources. The regional common factors are extracted from national levels of these variables by using the dynamic factor analysis. In a dynamic linear model, we find the statistically significant impact of the regional factor only in stock prices on the EMP for most of these economies. Overall, it highlights the importance of country-specific factors to defend against vulnerability in their external sector