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forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …
Persistent link: https://www.econbiz.de/10009771770
present value theory. Long-term government bond yields exhibit predictive power over all horizons from one month through five …
Persistent link: https://www.econbiz.de/10013238244
null hypothesis that the variable has no explanatory power. We derive the asymptotic theory for our test statistic and …
Persistent link: https://www.econbiz.de/10011958200
We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...
Persistent link: https://www.econbiz.de/10014348997
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility, which accommodates level shifts, day-of-the-week...
Persistent link: https://www.econbiz.de/10011335205
forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures … outperform existing dynamic conditional correlation models for forecasting future covariances. Among the new fMSV models, the … Cholesky MSV model with long memory and asymmetry shows stable and better forecasting performance for one-day, five-day and ten …
Persistent link: https://www.econbiz.de/10010259630
continuous time theory. In explanatory financial variability modelling this raises several methodological and practical issues … ; financial volatility ; forecasting ; explanatory modelling ; exchange rates …
Persistent link: https://www.econbiz.de/10003829997
discrete time models against high frequency estimates based on continuous time theory. In explanatory financial return …
Persistent link: https://www.econbiz.de/10013132293
volatility models are compared in terms of their VaR forecasting performances through a Monte Carlo study and an analysis based …
Persistent link: https://www.econbiz.de/10013105658
ARFIMAX models are applied in estimating the intra-day realized volatility of the CAC40 and DAX30 indices. Volatility clustering and asymmetry characterize the logarithmic realized volatility of both indices. ARFIMAX model with time-varying conditional heteroscedasticity is the best performing...
Persistent link: https://www.econbiz.de/10012910127