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Exploring the Impact: How Decentralized Exchange Designs Shape Traders' Behavior on Perpetual Future Contracts

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  • Erdong Chen
  • Mengzhong Ma
  • Zixin Nie

Abstract

In this paper, we analyze traders' behavior within both centralized exchanges (CEXs) and decentralized exchanges (DEXs), focusing on the volatility of Bitcoin prices and the trading activity of investors engaged in perpetual future contracts. We categorize the architecture of perpetual future exchanges into three distinct models, each exhibiting unique patterns of trader behavior in relation to trading volume, open interest, liquidation, and leverage. Our detailed examination of DEXs, especially those utilizing the Virtual Automated Market Making (VAMM) Model, uncovers a differential impact of open interest on long versus short positions. In exchanges which operate under the Oracle Pricing Model, we find that traders primarily act as price takers, with their trading actions reflecting direct responses to price movements of the underlying assets. Furthermore, our research highlights a significant propensity among less informed traders to overreact to positive news, as demonstrated by an increase in long positions. This study contributes to the understanding of market dynamics in digital asset exchanges, offering insights into the behavioral finance for future innovation of decentralized finance.

Suggested Citation

  • Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Exploring the Impact: How Decentralized Exchange Designs Shape Traders' Behavior on Perpetual Future Contracts," Papers 2402.03953, arXiv.org, revised Apr 2024.
  • Handle: RePEc:arx:papers:2402.03953
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    References listed on IDEAS

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    1. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    2. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    3. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    4. Ramirez, H & Sanchez, J. F, 2023. "Optimal liquidation with temporary and permanent price impact, an application to cryptocurrencies," Documentos de Trabajo 20669, Universidad del Rosario.
    5. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
    6. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    7. Shiller, Robert J, 1993. "Measuring Asset Values for Cash Settlement in Derivative Markets: Hedonic Repeated Measures Indices and Perpetual Futures," Journal of Finance, American Finance Association, vol. 48(3), pages 911-931, July.
    8. Philip Garcia & Raymond M. Leuthold & Hector Zapata, 1986. "Lead‐lag relationships between trading volume and price variability: New evidence," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 6(1), pages 1-10, March.
    9. McQueen, Grant & Pinegar, Michael & Thorley, Steven, 1996. "Delayed Reaction to Good News and the Cross-Autocorrelation of Portfolio Returns," Journal of Finance, American Finance Association, vol. 51(3), pages 889-919, July.
    10. Changyun Wang, 2002. "The effect of net positions by type of trader on volatility in foreign currency futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(5), pages 427-450, May.
    11. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Vijay Mohan, 2022. "Automated market makers and decentralized exchanges: a DeFi primer," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-48, December.
    14. Riccardo De Blasis & Alexander Webb, 2022. "Arbitrage, contract design, and market structure in Bitcoin futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 492-524, March.
    15. Hugo E. Ramirez & Juli'an Fernando Sanchez, 2023. "Optimal liquidation with temporary and permanent price impact, an application to cryptocurrencies," Papers 2303.10043, arXiv.org.
    16. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2021. "Trading activity and price discovery in Bitcoin futures markets," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 107-120.
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