The economic impact of DeFi crime events on decentralized autonomous organizations (DAOs)

The Decentralized Finance (DeFi) ecosystem has experienced over $10 billion in direct losses due to crime events. Beyond these immediate losses, such events often trigger broader market reactions, including price declines, trading activity changes, and reductions in market capitalization. Decentralized Autonomous Organizations (DAOs) govern DeFi applications through tradable governance assets that function like corporate shares for voting and decision-making. Leveraging DeFi’s granular trading data, we conduct an event study on 22 crime events between 2020 and 2022 to assess their economic impact on governance asset prices, trading volumes, and market capitalization. Using a dynamic difference-in-differences (DiD) framework with counterfactual governance assets, we aim for causal inference of intraday temporal effects. Our results show that 55% of crime events lead to significant negative price impacts, with an average decline of about 14%. Additionally, 68% of crime events lead to increased governance asset trading volume. Based on these impacts, we estimate indirect economic losses of over $1.3 billion in DAO market capitalization, far exceeding direct victim costs and accounting for 74% of total losses. Our study provides valuable insights into how crime events shape market dynamics and affect DAOs. Moreover, our methodological approach is reproducible and applicable beyond DAOs, offering a framework to assess the indirect economic impact on other cryptoassets.

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Publication Details

Journal
The Journal of Finance and Data Science
Published
2025-11-08
DOI
https://doi.org/10.1016/j.jfds.2025.100171
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

The economic impact of DeFi crime events on decentralized autonomous organizations (DAOs)

Masarah Paquet-Clouston, Stefan Kitzler, Bernhard Haslhofer
The Journal of Finance and Data Science
Blockchain Technology Applications and Security
article

The economic impact of DeFi crime events on decentralized autonomous organizations (DAOs)

Masarah Paquet-Clouston, Stefan Kitzler, Bernhard Haslhofer
article en

Abstract

The Decentralized Finance (DeFi) ecosystem has experienced over $10 billion in direct losses due to crime events. Beyond these immediate losses, such events often trigger broader market reactions, including price declines, trading activity changes, and reductions in market capitalization. Decentralized Autonomous Organizations (DAOs) govern DeFi applications through tradable governance assets that function like corporate shares for voting and decision-making. Leveraging DeFi’s granular trading data, we conduct an event study on 22 crime events between 2020 and 2022 to assess their economic impact on governance asset prices, trading volumes, and market capitalization. Using a dynamic difference-in-differences (DiD) framework with counterfactual governance assets, we aim for causal inference of intraday temporal effects. Our results show that 55% of crime events lead to significant negative price impacts, with an average decline of about 14%. Additionally, 68% of crime events lead to increased governance asset trading volume. Based on these impacts, we estimate indirect economic losses of over $1.3 billion in DAO market capitalization, far exceeding direct victim costs and accounting for 74% of total losses. Our study provides valuable insights into how crime events shape market dynamics and affect DAOs. Moreover, our methodological approach is reproducible and applicable beyond DAOs, offering a framework to assess the indirect economic impact on other cryptoassets.

The Journal of Finance and Data ScienceVol. 11
AIT Austrian Institute of Technology GmbH (AT), Complexity Science Hub (AT), Cegep Edouard Montpetit (CA)
Openalex Percentile: Top 53%
Blockchain Technology Applications and Security
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The economic impact of DeFi crime events on decentralized autonomous organizations (DAOs) — Masarah Paquet-Clouston, Stefan Kitzler, et al. · The Journal of Finance and Data Science (2025) | TGRS Research Map | TGRS