
We assess the impact of cryptocurrencies ultra-high frequency trading on financial stability. Focusing on three well-established cryptocurrencies, namely Bitcoin, Ethereum and Sui, we show that as the trading frequency increases, so do the excess potential losses of the investors, over and above the anticipated losses based on the Value-at-Risk. This is led by the exponential growth of the kurtosis that is exhibited at high-frequency trading. Given that currently the minimum capital requirements do not differentiate between the trading frequency but only between the type of crypto assets groups, we show that such overlook poses a threat to the financial stability.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
