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 …

rate risk in the market (i.e. high volatility). Market impairment or overshoot of exchange rate between two equilibria … could generate high volatility and threaten financial stability due to unhedged exposure to exchange rate risk in the … than other rules, such as fixed-volatility rules. The empirical methodology is backtested on Banco Mexico's FXIs data …

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 …

appropriately. Finally, we implement a simple stochastic volatility model and simulate the credit transition matrix for two large … the constant volatility case. In particular, it can shift CTM probabilities towards lower credit risk categories …

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 …

Using realized volatility to estimate conditional variance of financial returns, we compare forecasts of volatility …