Showing 1 - 10 of 19,733
Intraday high-frequency data of stock returns exhibit not only typical characteristics (e.g., volatility clustering and … the leverage effect) but also a cyclical pattern of return volatility that is known as intraday seasonality. In this paper …, we extend the stochastic volatility (SV) model for application with such intraday high-frequency data and develop an …
Persistent link: https://www.econbiz.de/10012520275
This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
Persistent link: https://www.econbiz.de/10014025233
Persistent link: https://www.econbiz.de/10009724340
controlling momentum, reversal, and volatility respectively. By using different combinations of parameter values, the process can …
Persistent link: https://www.econbiz.de/10012868934
forecasting the volatility of equity prices, using high-frequency data from 2000 to 2016. We consider the SPY and 20 stocks that …, 60 and 300 seconds), forecast horizons (1, 5, 22 and 66 days) and the use of standard and robust-to-noise volatility and …-time forecasts than the HAR-RV model, although no single extended model dominates. In general, standard volatility measures at the …
Persistent link: https://www.econbiz.de/10012030057
Persistent link: https://www.econbiz.de/10011580989
Persistent link: https://www.econbiz.de/10010344777
Persistent link: https://www.econbiz.de/10012792873
A novel approach to inference for a specific region of the predictive distribution is introduced. An important domain of application is accurate prediction of financial risk measures, where the area of interest is the left tail of the predictive density of logreturns. Our proposed approach...
Persistent link: https://www.econbiz.de/10012057160
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011383033