---
title: Volume Versus Returns: Reevaluating the Predictive Power of Salience Theory in the Cryptocurrency Market
url: https://www.ml-quant.com/papers/ssrn/4721640/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4721640
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4721640
featured: 2024-02-14
citations: 0
topic: Crypto & DeFi
---


# Volume Versus Returns: Reevaluating the Predictive Power of Salience Theory in the Cryptocurrency Market

The Salience theory, based on returns and trading volume, has a negative predictive power for forecasting return trends in the cryptocurrency market, with trading volume being a key factor.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4721640
- Identifier: SSRN 4721640
- Released: 2024-02-09
- First featured: Quant Letter No. 37 (2024-02-14): https://www.ml-quant.com/issues/2024-02-14/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Crypto & DeFi

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