Crypto funds (CFs) are a growing intermediary in cryptocurrency markets. We evaluate CF performance using metrics based on alphas, value at risk, lower partial moments, and maximum drawdown. The performance of actively managed CFs is heterogenous: While the average fund in our sample does not...

We examine how cybercrime impacts victims' risk-taking and returns. The results from our difference-in-differences analysis of a sample of victim and matched non-victim investors on the Ethereum blockchain are in line with prospect theory and suggests that victims increase their long-term total...

We propose a taxonomy of cybercrime on the Ethereum blockchain and examine how cybercrime impacts victims' risk-taking and returns. Our difference-in-differences analysis of a sample of victims and matched non-victims suggests that victims increase their long-term total risk-taking and earn...

This paper introduces a machine learning approach to quantify altruism from the linguistic style of textual documents. We apply our method to a central question in (social) entrepreneurship: How does altruism impact entrepreneurial success? Specifically, we examine the effects of altruism on...

What role does the selection of an investor and the timing of financing play in initial coin offerings (ICOs)? We investigate the operating and financial performance of ventures conducting ICOs with different types of investors at different points in the ventures' life cycle. We find that,...

We examine to what extent the market for initial coin offerings (ICOs) is driven by investor sentiment. Our results based on a comprehensive set of sentiment and coin price data suggest that the ICO market is driven by crypto-related sentiment, but is almost unrelated to general capital market...