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This paper constructs a leading macroeconomic indicator from microeconomic data using recent machine learning techniques. Using tree-based methods, we estimate probabilities of default for publicly traded non-financial firms in the United States. We then use the cross-section of out-of-sample...
Persistent link: https://www.econbiz.de/10012182392
We propose a coherent framework using support vector regression (SRV) for generating and ranking a set of high quality models for predicting emerging market sovereign credit spreads. Our framework adapts a global optimization algorithm employing an hv-block cross-validation metric, pertinent for...
Persistent link: https://www.econbiz.de/10012182398
This paper investigates the predictability of stock market movements using text data extracted from the social media platform, Twitter. We analyse text data to determine the sentiment and the emotion embedded in the Tweets and use them as explanatory variables to predict stock market movements....
Persistent link: https://www.econbiz.de/10012183192
Why do long-run interest rates respond to central bank communication? Whereas existing explanations imply a common set of signals drives short and long-run yields, we show that news on economic uncertainty can have increasingly large effects along the yield curve. To evaluate this channel, we...
Persistent link: https://www.econbiz.de/10012150121
This paper analyses gender differences in pay at the mean as well as along the wage distribution. Using data from the German Socio-Economic Panel, we estimate the adjusted gender pay gap applying a machine learning method (post-double-LASSO procedure). Comparing results from this method to...
Persistent link: https://www.econbiz.de/10012156057
We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments. These key features include best linear predictors of the effects using machine learning proxies, average effects sorted by impact groups, and average characteristics of most...
Persistent link: https://www.econbiz.de/10011775335
Global container ship movements may reliably predict global trade flows. Aggregating both movements at sea and port call events produces a wealth of explanatory variables. The machine learning algorithm partial least squares can map these explanatory time series to unilateral imports and...
Persistent link: https://www.econbiz.de/10012422743
Using a novel rich dataset at the regional level, this paper provides new empirical evidence on the fiscal transmission mechanism in the Eurozone. Our baseline estimates reveal a government spending relative output multiplier of 2.9, an employment multiplier of 1.9, and a cost per job created of...
Persistent link: https://www.econbiz.de/10012423654