This paper provides a methodology for combining forecasts based on several discrete choice models. This is achieved primarily by combining one-step-ahead probability forecast associated with each model. The paper applies well-established scoring rules for qualitative response models in the...

The majority of financial data exhibit asymmetry and heavy tails, which makes forecasting the entire density critically important. Recently, a forecast combination methodology has been developed to combine predictive densities. We show that combining individual predictive densities that are...

The majority of nancial data exhibit asymmetry and heavy tails, which makes forecasting the entire density critically important. Recently, a forecast combination methodology has been developed to combine predictive densities. We show that combining individual predictive densities that are skewed...

China's monetary policy is unconventional and constantly evolving as a result of its rapid economic development. This paper proposes to use fore-cast combinations to predict the People's Bank of China's monetary policy stance with a large set of 73 macroeconomic and financial predictors covering...

This paper proposes a unified framework to analyse the theoretical properties of forecast combination. The proposed framework not only is useful for deriving all existing results with ease but also provides important insights into two unresolved puzzles of forecast combination. Specifically,...

The problem of finding appropriate weights to combine several density forecasts is an important issue that is currently being debated in the forecast combination literature. A recent paper by Hall and Mitchell (IJF, 2007) proposes to combine density forecasts with the weights obtained from...