Showing 1 - 10 of 191
which professional forecasters' inflation and unemployment rate forecasts are `theory consistent', and find much … of tight labour markets.At the shortest horizon, theory-consistency is related to more accurate forecasts, but not …
Persistent link: https://www.econbiz.de/10014344341
In this paper we consider the value of Google Trends search data for nowcasting (and forecasting) GDP growth for a developed (U.S.) and emerging-market economy (Brazil). Our focus is on the marginal contribution of "Big Data" in the form of Google Trends data over and above that of traditional...
Persistent link: https://www.econbiz.de/10013222547
Macroeconomic data are subject to revision over time as later vintages are released, yet the usual way of generating … real-time out-of-sample forecasts from models effectively makes no allowance for this form of data uncertainty. We analyse …. This method is applied to density forecasting in the presence of time-varying heteroscedasticity, and is shown in principle …
Persistent link: https://www.econbiz.de/10012951549
A structural break is viewed as a permanent change in the parameter vector of a model. Using taxonomies of all sources of forecast errors for both conditional mean and conditional variance processes, we consider the impacts of breaks and their relevance in forecasting models: (a) where the...
Persistent link: https://www.econbiz.de/10014023694
Macro-variables such as consumption, investment and output are expected to move together in the long run. We consider whether survey forecasts of these quantities suggest beliefs about equilibrium relationships play a prominent role in expectations formation. Evidence is brought to bear from an...
Persistent link: https://www.econbiz.de/10013011232
We show that factor forecasting models deliver real-time gains over autoregressive models for US real activity … models compared to the AR models is largely unaffected by whether the exercise is in real time or is pseudo out-of-sample …
Persistent link: https://www.econbiz.de/10010532232
While there has been a great deal of interest in the modelling of non-linearities in economic time series, there is no … clear consensus regarding the forecasting abilities of non-linear time-series models. We evaluate the performance of two …
Persistent link: https://www.econbiz.de/10014197190
Application of the Bernhardt, Campello and Kutsoati (2006) test of herding to the calendar-year annual output growth and inflation forecasts suggests forecasters tend to exaggerate their differences, except at the shortest horizon when they tend to herd. We consider whether these types of...
Persistent link: https://www.econbiz.de/10010532223
We consider a number of ways of testing whether macroeconomic forecasters herd or anti-herd, i.e., whether they shade their forecasts towards those of others or purposefully exaggerate their differences. When applied to survey respondents' expectations of inflation and output growth the tests...
Persistent link: https://www.econbiz.de/10013044645
In this paper, we forecast Bitcoin's returns and return jumps using a self-exciting process embedded in a stochastic volatility model. We show the existence of the jump clustering feature, which varies depending on the frequency of the data. In an out-of-sample setting, we use a particle filter...
Persistent link: https://www.econbiz.de/10013403366