Currently, the world suffers from COVID-19 pandemic, which affects almost every aspect of daily life, giving rise to recession and affecting prices crude oil. The study aims model high uncertainty volatility as well forecast oil during pandemic. One econometric applied in this is Generalised Autoregressive Conditional Heteroscedasticity (GARCH) that allows more accurate appropriate statistical ...

We consider the possibility that respondents to the Survey of Professional Forecasters round their probability forecasts of the event that real output will decline in the future. We make various assumptions about how forecasters round their forecasts, including that individuals have constant patterns of responses across forecasts. Our primary interests are the impact of rounding on assessments ...

This paper analyzes extreme co-movements between the Australian and Canadian commodity currencies, and the gold and oil markets respectively, within a multivariate extension of the Hawkes-POT model. The intensity of extreme events in the Australian dollar are influenced by extreme events in gold, while the size of extreme events in the Canadian dollar are driven by extreme events in crude oil. ...

This paper brings together two important but hitherto largely unrelated areas of the forecasting literature, density forecasting and forecast combination. It proposes a simple data-driven approach to direct combination of density forecasts using optimal weights. These optimal weights are those weights that minimise the ‘distance’, as measured by the Kullback-Leibler Information Criterion, betwe...

This paper investigates whether the degree of predictability can be explained by existing asset pricing models, and provides two theoretical upper bounds on the R-square of the regression of stock returns on predictors for given classes of models of interest. Empirically, we find that the predictive R-square is significantly larger than the upper bounds permitted by well known asset pricing mod...

Permanent and widespread psychological biases affect both the subjective probability of future economic events and their retrospective interpretation. They may give rise to a systematic gap between (over-critical) judgments and (over-optimistic) expectations the “forecast” error. When things go bad, then, psychology suggests that people tend to become particularly optimistic, amplifying the for...

This paper analyses revisions of Swiss current account data, taking into account the actual data revision process and the implied types of revisions. In addition we investigate whether the first release of current account data can be improved upon by the use of survey results as gathered by the KOF Swiss Economic Institute, ETH Zurich. An answer in the affirmative indicates that it is possible ...

This article investigates the effects and transmission channels of shocks between two asymmetric neighboring countries. In particular, we investigate Austria and Germany which are highly integrated due to their common language and common membership of the European Monetary Union. Generalized impulse response functions reveal that there are large and significant effects of shocks to the German e...

We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the innovations of a finite order autoregression. We model the innovations as having a log-spectral density that is a continuous mean-zero Gaussian process of order 1/ √ T . This local embedding makes the problem asymptotically a normal-normal Bayes problem, resulting in closed-form solutions for th...