Showing 1 - 10 of 46,052
Persistent link: https://www.econbiz.de/10013262971
Motivated by economic-theory concepts - the Fisher hypothesis and the theory of the term structure - we consider a … small set of simple bivariate closed-loop time-series models for the prediction of price inflation and of long- and short …
Persistent link: https://www.econbiz.de/10009735355
Persistent link: https://www.econbiz.de/10003778880
Although there is much interest in the future retail price of gasoline among consumers, industry analysts, and … policymakers, it is widely believed that changes in the price of gasoline are essentially unforecastable given publicly available … information. We explore several new forecasting approaches for the U.S. retail price of gasoline and compare their accuracy with …
Persistent link: https://www.econbiz.de/10011429580
Although there is much interest in the future retail price of gasoline among consumers, industry analysts, and … policymakers, it is widely believed that changes in the price of gasoline are essentially unforecastable given publicly available … information. We explore a range of new forecasting approaches for the retail price of gasoline and compare their accuracy with the …
Persistent link: https://www.econbiz.de/10010464683
This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...
Persistent link: https://www.econbiz.de/10011454082
-switching models, and forecast combination to predict the dynamics in the S&P 500. First, we aggregate the weekly information of 115 …
Persistent link: https://www.econbiz.de/10012180543
The predictability of stock market is of great interest to both reseachers and investors. Despite voluminous evidence of in-sample predictability, the out-of-sample predictability of stock returns remains an ongoing debate. In this paper, motivated by both the financial theories and the well...
Persistent link: https://www.econbiz.de/10013029611
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
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010491104