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Neely et al. (2014) have recently demonstrated how to efficiently combine information from a set of popular technical indicators together with the standard Goyal and Welch (2008) predictor variables widely used in the equity premium forecasting literature to improve out-of-sample forecasts of...
Persistent link: https://www.econbiz.de/10012969634
price bubbles. Against this background, the paper evaluates if new advances in real-time bubble detection, as brought … to account for the uncertainty around start and end dates of asset price bubbles. Additionally, the paper then … common stock and house price bubbles in the U.S. and shows that this indicator improves output forecasts …
Persistent link: https://www.econbiz.de/10013018260
Persistent link: https://www.econbiz.de/10012989311
This paper develops a structural macroeconometric model of the world economy, disaggregated into forty national economies. This panel dynamic stochastic general equilibrium model features a range of nominal and real rigidities, extensive macrofinancial linkages, and diverse spillover...
Persistent link: https://www.econbiz.de/10013040410
This paper investigates the role of industry-specific effects and structural properties of intersectoral customer-supplier relations on the corporate default prediction of individual firms. We focus on a large sample of US exchange-listed companies over the period 1997- 2015 and show that...
Persistent link: https://www.econbiz.de/10012929351
errors for real Gross Domestic Product (GDP) growth, the unemployment rate, and Consumer Price Index (CPI) inflation for …
Persistent link: https://www.econbiz.de/10012930591
In this paper, we examine the ability of Fisher effect to describe the subjective behaviour of monetary policy responses for nations constrained by global factors. We developed and estimated a simple DSGE model for appraising the consequence of an integrated financial market predictor on...
Persistent link: https://www.econbiz.de/10012549169
We develop early warning models for financial crisis prediction by applying machine learning techniques to macrofinancial data for 17 countries over 1870–2016. Most nonlin-ear machine learning models outperform logistic regression in out-of-sample predictions and forecasting. We identify...
Persistent link: https://www.econbiz.de/10012705396
Quantile regression methods are increasingly used to forecast tail risks and uncertainties in macroeconomic outcomes. This paper reconsiders how to construct predictive densities from quantile regressions. We compare a popular two-step approach that fits a specific parametric density to the...
Persistent link: https://www.econbiz.de/10013289685
This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both naive forecasts, and forecasts from econometric models outside...
Persistent link: https://www.econbiz.de/10013210321