The adaptive market hypothesis of Decentralized finance (DeFi)

Yuanyuan Zhang, Stephen Chan, Jeffrey Chu and Shou–hsing Shih

Applied Economics, 2023, vol. 55, issue 42, 4975-4989

Abstract: Decentralized finance, or ‘De-Fi’, is an emerging sector and movement in finance and the cryptocurrency space that aims to extend the idea of digital currencies to a global decentralized financial system. In many cases, customized ‘coins’ or ‘tokens’ are used for applications such as borrowing or lending, providing liquidity, and even voting. Built on the same foundations of traditional cryptocurrencies (e.g. Bitcoin), these tokens possess monetary value and can be traded using fiat currencies on specialized decentralized exchanges. We provide the first analysis investigating the market efficiency of the decentralized finance market through DeFi tokens. Our findings from applying the adaptive market hypothesis (AMH) revealed that the efficiency of the markets varies over time, with the majority of the DeFi token returns exhibit very short days of inefficiency and predictability in their price every year. This is consistent with the AMH, but perhaps unexpected when considering the link between emerging financial markets and market efficiency. We conclude that the majority of investors and practitioners purchase these DeFi tokens for their utility value rather than for investment purposes, hence making the DeFi market more efficient. Further robustness checks on other comparable products in the blockchain ecosystem such as NFTs also reveal similar results.

Date: 2023
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DOI: 10.1080/00036846.2022.2133895

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