Information Flow in the FTX Bankruptcy: A Network Approach

TL;DR

This study analyzes the cryptocurrency network during the FTX bankruptcy using vertex centrality measures to understand how financial disruptions impact network stability and structure.

Contribution

It introduces a network approach employing closeness and information centrality to assess resilience and vulnerabilities in cryptocurrency markets during a major crisis.

Findings

Network centralities reveal shifts in cryptocurrency roles during FTX crisis.

Cryptocurrency markets are highly interconnected, with failures propagating through the network.

Vertex centralities help understand network resilience and vulnerabilities.

Abstract

This paper investigates the cryptocurrency network of the FTX exchange during the collapse of its native token, FTT, to understand how network structures adapt to significant financial disruptions, by exploiting vertex centrality measures. Using proprietary data on the transactional relationships between various cryptocurrencies, we construct the filtered correlation matrix to identify the most significant relations in the FTX and Binance markets. By using suitable centrality measures - closeness and information centrality - we assess network stability during FTX's bankruptcy. The findings document the appropriateness of such vertex centralities in understanding the resilience and vulnerabilities of financial networks. By tracking the changes in centrality values before and during the FTX crisis, this study provides useful insights into the structural dynamics of the cryptocurrency market. Results reveal how different cryptocurrencies experienced shifts in their network roles due to the crisis. Moreover, our findings highlight the interconnectedness of cryptocurrency markets and how the failure of a single entity can lead to widespread repercussions that destabilize other nodes of the network.