How Cryptocurrency Market Behavior Varies with Market Maturity

Summary

The document compares quantitative patterns in cryptocurrency markets with stylized facts associated with established financial markets. It studies return distributions, volatility clustering, temporal multifractal correlations, cross-market correlations, and the relationship between trading volume and price changes. The large amount of recorded crypto trading data makes it possible to examine how these properties vary across assets and over the market’s development.

The largest cryptocurrencies broadly resemble mature markets on several return and volatility measures, while smaller coins show weaker similarities and lower correlations with one another and with other markets. The document also reports a stronger volume-related price impact than in mature stock markets, scaling approximately as volume raised to an exponent at or above one. The excerpt does not identify the sample period, assets, or estimation methods, so these findings should be read as broad results from the study rather than universal properties of every cryptocurrency.

Key ideas

• Large cryptocurrencies show return and volatility patterns resembling those of established markets.
• Smaller cryptocurrencies display weaker similarities on the studied measures.
• Smaller coins are less correlated with one another and with other financial markets.
• The study finds stronger volume-related price impact in crypto than in mature stock markets.

Tags

# What is mature and what is still emerging in the cryptocurrency market?


# What is mature and what is still emerging in the cryptocurrency market?









In relation to the traditional financial markets, the cryptocurrency market is a recent invention and the trading dynamics of all its components are readily recorded and stored. This fact opens up a unique opportunity to follow the multidimensional trajectory of its development since inception up to the present time. Several main characteristics commonly recognized as financial stylized facts of mature markets were quantitatively studied here. In particular, it is shown that the return distributions, volatility clustering effects, and even temporal multifractal correlations for a few highest-capitalization cryptocurrencies largely follow those of the well-established financial markets. The smaller cryptocurrencies are somewhat deficient in this regard, however. They are also not as highly cross-correlated among themselves and with other financial markets as the large cryptocurrencies. Quite generally, the volume V impact on price changes R appears to be much stronger on the cryptocurrency market than in the mature stock markets, and scales as $R(V) \sim V^α$ with $α\gtrsim 1$.

Shown in full with attribution under the source's licence. Licence: abstract CC0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.