Title: An analysis of the return-volume relationship in decentralised finance (DeFi)
Authors: Stephen Chan - American University of Sharjah (United Arab Emirates) [presenting]
Abstract: The decentralised finance sector has recently experienced a surge in popularity and emerged from the cryptocurrency space's shadows. Although the purposes of the currencies used in this new sector differ from traditional cryptocurrencies, they still possess monetary value and can be traded using at currencies on specialised decentralised exchanges. The aim is to investigate the dynamic volume-return relationship of the five largest decentralized finance tokens, to understand better this relationship given the similarities with cryptocurrencies and the possible benefits for traders and practitioners. We implement the quantile-on-quantile regression and an extreme value theory approach to examine the relationship between the daily returns of the prices and trading volumes of decentralised finance tokens at varying quantiles and at the extreme tails. Our results suggest that when trading volume is experiencing large increases, the returns of the prices of tokens appear to be significantly positive for some cases but negative for others. The extreme volume-return dependence is found to be asymmetric in the extreme negative and positive tails of the distributions, where the dependence below extreme negative thresholds is essentially non-existent, but above extreme positive thresholds, it is significant. This extreme dependence between return and volume may be beneficial for developing trading strategies that incorporate trading volume data.