Financial literacy is playing an increasingly important role in today's complex world. Since the beginning of the new millennium, more countries and international organizations have recognized the importance of measuring and educating people about financial literacy, for example, to guide their...

Financial literacy is playing an increasingly important role in today's complex world. Since the beginning of the new millennium, more countries and international organizations have recognized the importance of measuring and educating people about financial literacy, for example, to guide their...

A time series can often be characterized using machine learning techniques, which require feature vectors as input. The quality of the feature vectors reflects the accuracy of the utilized machine learning techniques. We propose a method for combining features extracted from two popular...

ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for inferring dynamic network structures from temporal textual data, specifically financial news, remains an unexplored frontier. In this research, we introduce a novel...

Ziel der vorliegenden Webscraping-Analyse ist es, für die Betriebs- und Organisationslandschaft der Region Hannover sowie der Landkreise Hildesheim und Peine einen Überblick über die Relevanz innovativer Technologien und Konzepte zu geben. Hierfür werden die Websites ausgewertet und die...

We proposed a novel development trend prediction approach of digital financial inclusion (DFI) based on exploratory spatial data analysis (ESDA) and graph convolutional neural network (GCN), named ESDAGCN. Firstly, to address the limitation of standard GCN in lacking financial background...

Despite the widespread use of graphs in empirical research, little is known about readers' ability to process the statistical information they are meant to convey ("visual inference"). We study visual inference within the context of regression discontinuity (RD) designs by measuring how...