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Do Automated Market Makers in DeFi Ecosystem Exhibit Time-Varying Connectedness during Stressed Events?

Author

Listed:
  • Bikramaditya Ghosh

    (Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bangalore 560100, India)

  • Hayfa Kazouz

    (Faculty of Economic sciences and Management, University of Sousse, Sousse 4000, Tunisia)

  • Zaghum Umar

    (College of Business, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates)

Abstract

We investigate the connectedness of automated market makers (AMM) that play a pivotal role in liquidity and ease of operations in the decentralized exchange (DEX). By applying the TVP-VAR model, our findings show higher level of connectivity during periods of turmoil (such as Delta, Omicron variants of SARS-Covid, and the Russia Ukraine conflict). Furthermore, risk transmission/reception is found to be independent of the platform on which they typically run (Ethereum based AMMs were both emitters as well as receivers). Pancake (a Binance based AMM) and Perpetual Protocol (Ethereum based AMM) emerged as moderate to high receivers of risk transmission, whereas all of the other AMMs, including Ethereum, were found to be risk emitters at varying degrees. We argue that AMMs typically depend on the underlying smart contracts. If the contract is flexible, AMMs can vary (either receiver or emitter), otherwise AMMs behave in tandem.

Suggested Citation

  • Bikramaditya Ghosh & Hayfa Kazouz & Zaghum Umar, 2023. "Do Automated Market Makers in DeFi Ecosystem Exhibit Time-Varying Connectedness during Stressed Events?," JRFM, MDPI, vol. 16(5), pages 1-12, April.
    • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:5:p:259-:d:1135618
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    References listed on IDEAS

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    1. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
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    Cited by:

    1. Carlos Esparcia & Tarek Fakhfakh & Francisco Jareño & Achraf Ghorbel, 2024. "Dynamic DeFi-G7 stock markets interactions and their potential role in diversifying and hedging strategies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.
    2. Tristan Lim, 2024. "Predictive crypto-asset automated market maker architecture for decentralized finance using deep reinforcement learning," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.

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