Defining MEV Risk
Last updated
Last updated
MEV stands for Maximal (or Miner) Extractable Value. It refers to the profits miners or validators can extract by ordering transactions in a certain way before including them in a block.
MEV risk arises from the actions that miners (or validators, in proof-of-stake systems) can take to reorder, insert, or censor transactions within blocks they produce. This can affect the entire network or protocol, influencing transaction ordering and potentially leading to front-running, back-running, and other forms of transaction order manipulation. These activities can impact the fairness and integrity of the DeFi ecosystem, leading to concerns over market efficiency and security for all participants.
Since MEV risk can influence the operation and security of blockchain networks and the broader DeFi market, it can be considered a form of systematic risk. It reflects broader vulnerabilities and challenges within the blockchain infrastructure and consensus mechanisms, rather than risks associated with individual investments or projects.
However, some reasons why MEV risk can be seen as an unsystematic risk:
It emerges from factors and behaviors tied to the unique architectures of particular smart contracts and protocols.
MEV vulnerabilities arise from specific design or coding limitations in the transaction logic of smart contracts of individual protocols.
Not all types of DeFi protocols face the same degree of MEV risks - for example, decentralized exchanges and lending protocols are more vulnerable compared to identity platforms.
The risk exposure comes from proprietary aspects of transaction ordering, sequencing or pricing logic - which differs vastly across decentralized applications.
So while MEV exploits do influence trust in wider crypto/DeFi ecosystem to an extent, the risks ultimately stem from isolated vulnerabilities in unique protocols. Hence MEV risks remain largely uncorrelated with systemic market conditions in DeFi and are treated as idiosyncratic. Protocols have to individually address issues with architecture, randomization, fair sequencing etc. to mitigate MEV.