Showing 1 - 10 of 108
Economic policy makers, international organisations and private-sector forecasters commonly use short-term forecasts of real GDP growth based on monthly indicators, such as industrial production, retail sales and confidence surveys. An assessment of the reliability of such tools and of the...
Persistent link: https://www.econbiz.de/10013317625
We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two …, 35, and 90 national-level macroeconomic time series and a dynamic forecasting methodology. Empirical results suggests …
Persistent link: https://www.econbiz.de/10010411858
Since 2009, stock markets have resided in a long bull market regime. Passive investment strategies have succeeded during this low-volatility growth period. From 2018 on, however, there was a transition into a more volatile market environment interspersed by corrections increasing in amplitude...
Persistent link: https://www.econbiz.de/10012419688
We introduce a novel quantitative methodology to detect real estate bubbles and forecast their critical end time, which we apply to the housing markets of China's major cities. Building on the Log-Periodic Power Law Singular (LPPLS) model of self-reinforcing feedback loops, we use the quantile...
Persistent link: https://www.econbiz.de/10011761282
The issue of forecast aggregation is to determine whether it is better to forecast a series directly or instead construct forecasts of its components and then sum these component forecasts. Notwithstanding some underlying theoretical results, it is generally accepted that forecast aggregation is...
Persistent link: https://www.econbiz.de/10013122152
. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …
Persistent link: https://www.econbiz.de/10013155104
We introduce a structural quantile vector autoregressive (VAR) model. Unlike standard VAR which models only the average interaction of the endogenous variables, quantile VAR models their interaction at any quantile. We show how to estimate and forecast multivariate quantiles within a recursive...
Persistent link: https://www.econbiz.de/10012859199
Euro area GDP and components are nowcast and forecast one quarter ahead. Based on a dataset of 163 series comprising the relevant monthly indicators, simple bridge equations with one explanatory variable are estimated for each. The individual forecasts generated by each equation are then pooled,...
Persistent link: https://www.econbiz.de/10013316489
We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the...
Persistent link: https://www.econbiz.de/10014078099
We develop the concept of “dragon-kings” corresponding to meaningful outliers, which are found to coexist with power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems. These dragon-kings reveal the existence of mechanisms of...
Persistent link: https://www.econbiz.de/10003971094