Showing 1 - 10 of 11,387
This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...
Persistent link: https://www.econbiz.de/10013110732
Modern calculation of textual sentiment involves a myriad of choices for the actual calibration. We introduce a general sentiment engineering framework that optimizes the design for forecasting purposes. It includes the use of the elastic net for sparse data-driven selection and weighting of...
Persistent link: https://www.econbiz.de/10012901817
This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the...
Persistent link: https://www.econbiz.de/10011878368
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to …
Persistent link: https://www.econbiz.de/10009735835
We use Bayesian additive regression trees to reexamine the efficiency of growth and inflation forecasts for Germany. To …
Persistent link: https://www.econbiz.de/10012822387
We use quantile random forests (QRF) to study the efficiency of the growth forecasts published by three leading German economic research institutes for the sample period from 1970 to 2017. To this end, we use a large array of predictors, including topics extracted by means of...
Persistent link: https://www.econbiz.de/10012285443
This study examined the causal relationship between inflation and economic growth as well as estimating threshold and forecasting of inflation in Nigeria for the period of 1961 { 2016. The study employed Granger causality test, Au- toregressive Distributed Lag (ARDL), Autoregressive Integrated...
Persistent link: https://www.econbiz.de/10011922677
We compare different approaches to accounting for parameter instability in the context of macroeconomic forecasting models that assume either small, frequent changes versus models whose parameters exhibit large, rare changes. An empirical out-of-sample forecasting exercise for U.S. GDP growth...
Persistent link: https://www.econbiz.de/10013023063
This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions to estimate Growth at Risk as introduced in Adrian, Boyarchenko, and Giannone's (2019) seminal paper "Vulnerable Growth". In contrary to their semi-parametric approach, the SSV...
Persistent link: https://www.econbiz.de/10012807854
The paper addresses the question on what is the typical time horizon over which a full transmission of movements in the real exchange rate into real economy takes place. To this end, we base our analysis on the mixed-frequency small-scale dynamic factor model of Siliverstovs (2012) fitted to the...
Persistent link: https://www.econbiz.de/10010482019