This paper analyzes the performance of temporal fusion transformers in forecasting realized volatilities of stocks listed in the S&P 500 in volatile periods by comparing the predictions with those of state-of-the-art machine learning methods as well as GARCH models. The models are trained on...

We leverages computational linguistics to determine how the narrative content of earnings conference calls influences investors' uncertainty about a firm's future valuation. By applying statistical topic modeling to a corpus of 18,254 conference calls, we extract topics and tones from both...

Although the quantitative relationship between employment cyclicality and wage cyclicality is central for the dynamics of macroeconomic models, there is little empirical evidence on this topic. We use the German AWFP dataset to document that wage cyclicalities are very heterogeneous across...

We shed light on an understudied group: retirees in unions. Using representative individual-level data of 19 European countries, we find that the share of retirees in unions and the union density of retirees increased between 2008 and 2020. Econometric analyses indicate that on average retired...

This paper quantifies potential costs of issue linkage examining trade preferences granted under the US Generalized System of Preferences (GSP). Preferential market access via US GSP is conditional on political practices by beneficiaries. Using monthly import data, I study trade policy...

This paper investigates the effects of inflation news coverage on market-based inflation expectations and outcomes in the inflation-protected securities market. We employ a large corpus of news headlines from top U.S. newspapers and market data on the U.S. yield curve and inflation-protected...

This paper analyzes the performance of temporal fusion transformers in forecasting realized volatilities of stocks listed in the S&P 500 in volatile periods by comparing the predictions with those of state-of-the-art machine learning methods as well as GARCH models. The models are trained on...

This paper quantifies potential costs of issue linkage examining trade preferences granted under the US Generalized System of Preferences (GSP). Preferential market access via US GSP is conditional on political practices by beneficiaries. Using monthly import data, I study trade policy...

This paper investigates the effects of inflation news coverage on market-based inflation expectations and outcomes in the inflation-protected securities market. We employ a large corpus of news headlines from top U.S. newspapers and market data on the U.S. yield curve and inflation-protected...

Central bank surveys frequently elicit households' probabilistic beliefs about future inflation. The responses provide only a coarse picture of inflation beliefs further away from zero. Using data from the Bundesbank household panel, we show that the current high-inflation environment induces...