Disagreement and returns: The case of cryptocurrencies

Abstract We present the first evidence of investor‐trading‐based disagreement's influence on cross‐sectional cryptocurrency daily returns. We interpret abnormal trading volume as investor disagreement and find evidence in support of Miller's disagreement model: when short‐sale constraints are binding, high abnormal volume (high disagreement) assets experience lower future returns. Further supporting Miller, these same conditions associate with higher contemporaneous order imbalance, and ex post decreases in both buying and selling activities, with the former exceeding the latter in magnitude. By contrast, the effect of high disagreement disappears after a coin's margin trading is activated. We conclude that price‐optimism models explain the disagreement‐returns relationship when opinion divergence is likely the dominant determinant of returns.

Authors

Institutions

Publication Details

Journal
Financial Management
Published
2025-01-09
DOI
https://doi.org/10.1111/fima.12491
Citations
5
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
11.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disagreement and returns: The case of cryptocurrencies

Lawrence Hsiao, Jon A. Garfinkel, Danqi Hu
5 citations
Financial Management
Financial Markets and Investment Strategies
11.04
article

Disagreement and returns: The case of cryptocurrencies

Lawrence Hsiao, Jon A. Garfinkel, Danqi Hu
article en
5 citations

Abstract

Abstract We present the first evidence of investor‐trading‐based disagreement's influence on cross‐sectional cryptocurrency daily returns. We interpret abnormal trading volume as investor disagreement and find evidence in support of Miller's disagreement model: when short‐sale constraints are binding, high abnormal volume (high disagreement) assets experience lower future returns. Further supporting Miller, these same conditions associate with higher contemporaneous order imbalance, and ex post decreases in both buying and selling activities, with the former exceeding the latter in magnitude. By contrast, the effect of high disagreement disappears after a coin's margin trading is activated. We conclude that price‐optimism models explain the disagreement‐returns relationship when opinion divergence is likely the dominant determinant of returns.

Financial ManagementVol. 54(3)
University of Iowa (US), National Taiwan University (TW), Peking University (CN)
Openalex Percentile: Top 2%
Financial Markets and Investment Strategies
11.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.