Survivorship and Delisting Bias in Cryptocurrency Markets
Type
journal article
Date Issued
2022-11-28
Author(s)
Abstract
This study quantifies performance measure distortions in a cryptocurrency sample truncated by survivorship and delisting bias. Previous research shows that the attrition rate in cryptocurrency markets is high. However, the survivorship and delisting bias in cryptocurrencies lacks empirical research. Using data for 3’904 cryptocurrencies during the 2014-2021 period, we estimate an annualized bias of 0.93% (62.19%) for value-weighted (equal-weighted) portfolios. After controlling for survivorship and delisting bias, we revisit the relationship between average returns, size, past performance, market β, liquidity, and downside risk. Our results
confirm the size effect, but the premium is overestimated by 50% in a survival-conditioned sample. In contrast, we find no evidence of a positive relationship between average returns, one-week momentum, market β, and downside risk. Our results suggest that the survivorship
and delisting bias are important biases that ought to be omitted.
confirm the size effect, but the premium is overestimated by 50% in a survival-conditioned sample. In contrast, we find no evidence of a positive relationship between average returns, one-week momentum, market β, and downside risk. Our results suggest that the survivorship
and delisting bias are important biases that ought to be omitted.
Language
English
HSG Profile Area
SOF - System-wide Risk in the Financial System
Refereed
No
Subject(s)
Contact Email Address
luca.liebi@unisg.ch
Eprints ID
268147
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Survivorship_and_Delisting_Bias_in_Cryptocurrency_Markets.pdf
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