Abstract: This paper develops univariate and multivariate forecasting models for realized volatility in Australian stocks. We consider multivariate models with common features or common factors, and we suggest estimation procedures for approximate factor models that are robust to jumps when the cross-sectional dimension is not very large. Our forecast analysis shows that multivariate models outperform univariate models, but that there is little difference between simple and sophisticated factor models
This thesis investigates the modelling and forecasting of multivariate volatility and dependence in ...
This paper examines the economic significance of return predictability in Australian equities. In li...
This thesis involved an empirical investigation of the predictability of Australian industrial stock...
This paper develops univariate and multivariate forecasting models for realized volatility in Austra...
The existing literature contains conflicting evidence regarding the relative quality of stock market...
This paper compares the forecasting performances of both univariate and multivariate models for real...
Investigates whether extremely cheap and relatively simple vector autoregressive (VAR) models produc...
The modelling and forecasting of exchange rates and their volatility has important implications for ...
This paper employs Bayesian dynamic linear forecasting techniques to investigate the factors driving...
We provide one of the first comprehensive studies on out-of-sample stock returns predictability in A...
This paper employs Bayesian dynamic linear forecasting techniques to investigate the factors driving...
© 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All right...
Multivariate volatility forecasts are an important input in many financial applications, in particul...
This paper analyzes the forecast accuracy of the multivariate realized volatility model introduced b...
In multivariate volatility prediction, identifying the optimal forecasting model is not always a fea...
This thesis investigates the modelling and forecasting of multivariate volatility and dependence in ...
This paper examines the economic significance of return predictability in Australian equities. In li...
This thesis involved an empirical investigation of the predictability of Australian industrial stock...
This paper develops univariate and multivariate forecasting models for realized volatility in Austra...
The existing literature contains conflicting evidence regarding the relative quality of stock market...
This paper compares the forecasting performances of both univariate and multivariate models for real...
Investigates whether extremely cheap and relatively simple vector autoregressive (VAR) models produc...
The modelling and forecasting of exchange rates and their volatility has important implications for ...
This paper employs Bayesian dynamic linear forecasting techniques to investigate the factors driving...
We provide one of the first comprehensive studies on out-of-sample stock returns predictability in A...
This paper employs Bayesian dynamic linear forecasting techniques to investigate the factors driving...
© 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All right...
Multivariate volatility forecasts are an important input in many financial applications, in particul...
This paper analyzes the forecast accuracy of the multivariate realized volatility model introduced b...
In multivariate volatility prediction, identifying the optimal forecasting model is not always a fea...
This thesis investigates the modelling and forecasting of multivariate volatility and dependence in ...
This paper examines the economic significance of return predictability in Australian equities. In li...
This thesis involved an empirical investigation of the predictability of Australian industrial stock...