Statistical measures of the volatility of exchange rates, interest rates, and stock prices are estimated for a number … of countries. Periods of high volatility are identified and compared with periods of financial difficulty. The results … indicate that GARCH models of volatility could be potentially useful in assessing financial soundness. Daily data are more …

A stochastic volatility model where volatility was driven solely by a latent variable called news was estimated for … volatilities. Volatility persistence being close to one was consistent with both volatility clustering and mean reversion … specification improvements were always possible. The model corroborated stylized findings in volatility modeling and has potential …

This paper proposes a stochastic volatility model to measure sovereign financial distress. It examines how key European … sovereign credit default swap (CDS) spreads affect each other; specifically, the paper analyses the volatility structure of … explaining each other’s volatility while Germany also plays an important role. It is found that extreme bad news led to …

This paper, using T-GARCH models, finds that the United States has been the major source of price and volatility … ""stock market correction"" period. There is also evidence of structural breaks in the stock price and volatility dynamics …

The paper analyzes foreign exchange market volatility in four Central European EU accession countries in 2001-2003. By … using a Markov regime-switching model, it identifies two regimes representing high- and low-volatility periods. The … the Czech koruna-Slovak koruna) in the high-volatility period. The paper concludes by discussing the policy implications …

haircuts with market volatility and the amount of securities sold by banks. The framework is accompanied by a Matlab program …