Showing 1 - 10 of 10
We study the impact of private information on volatility in financial markets. We develop a comprehensive framework to … private information on prices and the effects of public information on volatility. Using a high-frequency 30-year U … statistically and economically significant explanatory variables for volatility. Private information is more important than public …
Persistent link: https://www.econbiz.de/10009126682
Persistent link: https://www.econbiz.de/10009784937
univariate volatility models (including HEAVY and Realized GARCH models), using daily returns from the S&P 500, DJIA, FTSE and … result, albeit less strong, holds when compared to combined density forecasts based on equal weights. In addition, VaR … estimates improve a t the short horizon, in particular when compared to estimates based on equal weights or to the VaR estimates …
Persistent link: https://www.econbiz.de/10010384112
We study the impact of private information on volatility in financial markets. We develop a comprehensive framework to … private information on prices and the effects of public information on volatility. Using a high-frequency 30-year U … statistically and economically significant explanatory variables for volatility. Private information is more important than public …
Persistent link: https://www.econbiz.de/10011386466
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
We propose a new score-driven model to capture the time-varying volatility and tail behavior of realized kernels. We … and forecasts of volatility risk quantiles. …
Persistent link: https://www.econbiz.de/10012053572
We present a new model to decompose total daily return volatility into a filtered (high-frequency based) open …-to-close volatility and a time-varying scaling factor. We use score-driven dynamics based on fat-tailed distributions to limit the impact …-to-close volatility changes substantially through time, especially for financial stocks. …
Persistent link: https://www.econbiz.de/10012056853
volatility forecasting into two pillars: the realized variances and realized correlations and quantifies the corresponding …% and at least 78%). The results on the GMV portfolios show that realized covariance models exhibit lower ex-post volatility …
Persistent link: https://www.econbiz.de/10015064180
We investigate the conditional tail behaviour of asset price changes at high (10-second) frequencies using a new dynamic model for integer-valued tickdata. The model has fat tails, scale dynamics, and allows for possible over- or under-representation of zero price changes. The model can be...
Persistent link: https://www.econbiz.de/10015419899
volatility models with a simpler, widely used alternative-the Exponentially Weighted Moving Average (EWMA) filter. Using over two …-based volatility models, delivering significant utility gains when including transaction costs, due in part to its lower turnover. Even …
Persistent link: https://www.econbiz.de/10015419907