In this paper we show, using a Machine Learning Framework and utilising a substantial corpus of media articles on Brexit, confirmed evidence of co-integration and causality between the ensuing media sentiments and British currency. The novel contribution of this paper is that along with...

Aufgrund des strategischen Potenzials und des geschäftlichen Nutzens von Big Data richten Unternehmen vermehrt ihre Aufmerksamkeit auf Big Data Analytics. Der Wert von Big Data Analytics, zum Beispiel zum Erfassen von Kundenwünschen und zum Liefern von maßgeschneiderten Diensten, scheint...

We propose a high-frequency digital economy index by combining official white papers and big data. It aims to resolve the discrepancy between the new economic reality and old economic indicators used by decision-makers and policymakers. We have demonstrated a significant effect due to keyword...

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

This paper re-conceptualizes the planning process in the big data era based on the improvements that non-linear modeling approaches provide over the mainstream linear approaches. First, it demonstrates challenges of conventional linear methodologies in modeling complexities of residential energy...

In this work we present a novel ensemble model for a credit scoring problem. The main idea of the approach is to incorporate separate beta binomial distributions for each of the classes to generate balanced datasets that are further used to construct base learners that constitute the final...

We generate measures for search intensity of employers and job seekers and - as a novel feature - for placement intensity of employment agencies. For this purpose, we tap big data on online activity from the job exchange of the German Federal Employment Agency and its internal...