Freelancing human experts play an important role in Initial Coin Offerings (ICOs). Expert ratings partially reflect the reciprocal network of ICO members and analysts. Ratings predict ICO success, but highly imperfectly so. Favorably rated ICOs tend to fail when more ratings reciprocate prior...

It is relatively easy for us humans to detect when a question we asked has not been answered - we teach this skill to a computer. Using a supervised machine learning framework on a large training set of questions and answers, we identify 1,027 trigrams that signal non-answers. We show that this...

This paper empirically analyzes the role of corporate culture in banking. We define culture based on the Competing Value Framework (Quinn and Rohrbaugh, 1983) and find that banks with a more pronounced competition-oriented culture have stronger bonus-focussed compensation schemes, while banks...

Context specific language or jargon helps, by definition, to efficiently and precisely transfer information. However, due to its complex nature, jargon might also be a tool to obfuscate information. This paper studies whether jargon is used in verbal firm disclosures to obfuscate or to...

Initial Coin Offerings (ICOs) provide a clean opportunity and rich data to study the contribution of analysts to the functioning of capital markets. The assessments of freelancing ICO analysts vary in quality and exhibit biases due to the reciprocal interactions of analysts with ICO team...

Freelancing human experts play an important role in Initial Coin Offerings (ICOs). Expert ratings partially reflect the reciprocal network of ICO members and analysts. Ratings predict ICO success, but highly imperfectly so. Favorably rated ICOs tend to fail when more ratings reciprocate prior...