Predictions of asset returns and volatilities are heavily discussed and analyzed in the finance research literature. In this paper, we compare linear and nonlinear predictions for stock- and bond index returns and their covariance matrix. We show in-sample and out-of-sample prediction accuracy...

Die Prognose der Insolvenzgefährdung von Unternehmen anhand statistischer Methodik war und ist eine bedeutende Aufgabe empirischer Forschung. Eine Möglichkeit der Beurteilung der finanziellen bzw. wirtschaftlichen Verfassung von Unternehmen stellt die sog. externe Bilanzanalyse anhand...

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an...

This article questions the slope homogeneity in a gravity equation and proposes a partially heterogeneous framework for its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity equation variables. Further, the gravity model is estimated...

The study benchmarks four machine-learning algorithms- Random Forest, XGBoost, CatBoost and Long Short-Term Memory (LSTM) networks-for forecasting stock market liquidity in Germany's DAX equity market. Using data from January 2006 to May 2025, a Liquidity Score is constructed as a...

In this paper, we present a review of various computational experiments – and consequent results – concerning Neural Network (NN) models developed for regional employment forecasting. NNs are widely used in several fields because of their flexible specification structure. Their utilization...

Previous research suggests that minimum wages induce heterogeneous treatment effects on wages across different groups of employees. This research usually defines groups \textit{ex ante}. We analyze to what extent effect heterogeneities can be discerned in a data-driven manner by adapting the...

The Deutsche Bundesbank publishes aggregated rates of change for the revenue, the earnings before interest, taxes, depreciation and amortisation, and the earnings before interest and taxes of the German non-financial groups listed in the Prime Standard of the Frankfurt Stock Exchange. Where...

In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...

The economic recession in the European countries during the current financial crisis and the worsening of the financial situation in a number of countries have resulted in an increase of the sovereign debt risk. In this paper we use the method of self-organizing maps to propose a European...