Lending institutions’ reluctance to lend to MSMEs or to offer them competitive interest rates stems from the relatively costly information acquisition for small loans. The central idea is to bridge the information gap between the demand and the supply side by creating a credit analytics...

What began as a single COVID-19 case in China in late 2019 quickly spread around the globe in the first quarter of 2020. While the impact on the world\'s health systems is unknown, the economic toll remains also remains unknown as the world grapples with an unprecedented global recession. This...

The study investigates the factors that influence dividend payout policy in public Pakistani manu- facturing companies throughout the timeframe 2010-20. Pooled OLS technique was used for regression purposes, as the majority of companies do not pay a dividend at all or do not do so regularly so...

This study addresses an open debate in the literature about the direct effects of measures of school quality on workers' earnings in the labor market. Card and Kureges (1996) argue that the young sample that Betts (1995) uses understates the effects of the measures of school quality on earnings....

The standard approach to 'nowcast' disaster impacts, which relies on risk models, does not typically account for the compounding impact of various hazard phenomena (e.g., wind and rainfall associated with tropical storms). The alternative, traditionally, has been a team of experts sent to the...

Purpose - This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method. Design/methodology/approach - In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11...

The BIBB/BAuA Employment Surveys 2006, 2012 and 2018 are large cross-sections of the working population on qualification and working conditions in Germany and many publications are based on them. The data covers a wide range of topics, including information on occupations, education, job tasks,...

In the feld of empirical asset pricing, the challenges of high dimensionality, non-linear relationships, and interaction efects have led to the increasing popularity of machine learning (ML) methods. This study investigates the performance of ML methods when predicting diferent measures of stock...

Estimating regional integration faces challenges because of incomplete data from missing values and insufficient time spans. A key advantage of a dynamic factor model estimated using the Bayesian state-space approach is its ability to handle missing values and aggregation of the regional...

The ZEW Financial Market Survey is a monthly panel survey among financial market experts that was launched in December 1991. The survey focuses on the experts' expectations about international financial markets and macroeconomic developments. We describe the ZEW Financial Market Survey and the...