Performance measurement of crypto funds

Niclas Dombrowski, Wolfgang Drobetz, Paul P. Momtaz

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

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 heterogeneous: While the average fund in our sample does not outperform the overall cryptocurrency market, there seem to be some few funds with superior skills. Given the non-normal nature of fund returns, the choice of the performance measure affects the rank orders of funds. Compared to the Sharpe ratio, the most commonly applied metric in the asset management practice, performance measures based on alphas and maximum drawdown lead to diverging fund rankings. Depending on their ranking order of preferences, CF investors should consider a bundle of metrics for fund selection and performance measurement.

Original languageEnglish
Article number111118
JournalEconomics Letters
Volume228
DOIs
StatePublished - Jul 2023

Keywords

  • Active investment management
  • Blockchain-based digital assets
  • Crypto funds
  • Fund selection
  • Performance measurement

Fingerprint

Dive into the research topics of 'Performance measurement of crypto funds'. Together they form a unique fingerprint.

Cite this