Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs)...

We study the association of startup firm spending with firm survival. We propose that spending per employee (the “normalized burn rate”) captures entrepreneur's ability to avoid failure better than total spending (the popular “burn rate”). We derive an analytical model to describe how...

This research examines how startup founders' academic knowledge, and knowledge gained through startup founding experience, signal investors and attract investments. We further examine, for both financed and non-financed startups, whether these signals are associated with the startup's...

This paper emerges in the context of authors' previous investigations concerning the individual determinants of entrepreneurship. More specific, it focuses on elaborating and empirically testing hypotheses related to structural push and pull factors, e.g. age, gender, education, type of...

Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs)...

Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs)...

Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs)...

What factors predict firm creation in rural America? Policymakers asking this question face two obstacles. First, research on firm creation centers on high-tech, urban firms. Second, entrepreneurship research stretches across disciplines, often using econometric methods to identify the effect of...

This paper addresses the open debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. Daily covariances are estimated based on HF data of the S&P 500 universe employing a blocked realized kernel estimator. We propose forecasting covariance matrices using a...

Traditional methods for evaluating corporate credit risk rarely consider the impact of the macro economy on corporate value and performance. We argue that lenders and management can obtain valuable information about the need for and approach to restructuring by decomposing default predictions...