We use monthly data covering a century-long sample period (1915–2021) to study whether geopolitical risk helps to forecast subsequent gold volatility. We account not only for geopolitical threats and acts, but also for 39 country-specific sources of geopolitical risk. The response of...

We examine the forecasting power of a daily newspaper‐based index of uncertainty associated with infectious diseases (EMVID) for real estate investment trusts (REITs) realized market variance of the United States (US) via the heterogeneous autoregressive realized volatility (HAR‐RV) model....

Utilizing a machine learning technique known as random forests, we study whether regional output growth uncertainty helps to improve the accuracy of forecasts of regional output growth for 12 regions of the UK using monthly data for the period from 1970 to 2020. We use a stochastic volatility...

We examine the predictive value of El Niño and La Niña weather episodes for the subsequent realized variance of 16 agricultural commodity prices. To this end, we use high‐frequency data covering the period from 2009 to 2020 to estimate the realized variance along realized skewness, realized...

Komplexe Aktien- und Wechselkurstrajektoren werden im Rahmen eines nichtlinearen dynamischen makroökonomischen Modells mit träger Outputanpassung am Gütermarkt und heterogener Erwartungsbildung auf den Assetmärkten abgeleitet. Die Implikationen des Aufeinandertreffens von Chartisten und...

The U.S. subprime mortgage crisis has witnessed that house prices may have a profound effect on the economy. A key question for researchers and policymakers is what can be learnt from forecasts of changes in house prices. We use survey data from the WSJ forecast poll to analyze this question....

Kurse und Konjunkturzyklen: Verursachen Finanzmarktvolatilitäten Schwankungen der realwirtschaftlichen Aktivität? Dieser Beitrag analysiert den Zusammenhang zwischen Finanzmarktvolatilität und realer ökonomischer Aktivität. Unter Verwendung von Monatsdaten für die Bundesrepublik...

Based on the approach advanced by Elliott et al. (Rev. Ec. Studies. 72, 1197-1125), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price...

We used Wall Street Journal survey data for the period 2006 - 2010 to analyze whether forecasts of house prices and housing starts provide evidence of (anti-)herding of forecasters. Forecasts are consistent with herding (anti-herding) of forecasters if forecasts are biased towards (away from)...