We compare the performance of the linear regression model, which is the current standard in science and practice for cross-sectional stock return forecasting, with that of machine learning methods, i.e., penalized linear models, support vector regression, random forests, gradient boosted trees...

Private firm financing, given the far-reaching importance of non-publicly traded companies for global output and employment, is still a relatively underexplored area. Since the seminal work of Petersen and Rajan (1994), only a small branch of research into private firms' cost of debt has been...

In recent years, the application of digital technologies for learning purposes is increasingly discussed as smartphones have become an integral part of students' everyday life. These technologies are particularly promising in the so-called "transition-in" phase of the student lifecycle when...

Target costing is a well-established strategic cost management tool in theory and practice. The original target costing model implies independence of customer preferences resulting in additive utility functions for the customer-oriented optimization of cost structures. We argue that this...

Technical trading strategies assume that past changes in prices help predict future changes. This makes sense if the past price trend reflects fundamental information that has not yet been fully incorporated in the current price. However, if the past price trend only reflects temporary pricing...

Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are derived under the assumption of ideal conditions, such as infinite payoffs and clean surplus accounting. Because these conditions are hardly ever met, we extend the standard approaches, based on the fundamental principle of...