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Evolutionary dynamics of the cryptocurrency market (1705.05334v3)

Published 15 May 2017 in physics.soc-ph, cs.SI, nlin.AO, q-bio.PE, and q-fin.GN

Abstract: The cryptocurrency market surpassed the barrier of \$100 billion market capitalization in June 2017, after months of steady growth. Despite its increasing relevance in the financial world, however, a comprehensive analysis of the whole system is still lacking, as most studies have focused exclusively on the behaviour of one (Bitcoin) or few cryptocurrencies. Here, we consider the history of the entire market and analyse the behaviour of 1,469 cryptocurrencies introduced between April 2013 and June 2017. We reveal that, while new cryptocurrencies appear and disappear continuously and their market capitalization is increasing (super-)exponentially, several statistical properties of the market have been stable for years. These include the number of active cryptocurrencies, the market share distribution and the turnover of cryptocurrencies. Adopting an ecological perspective, we show that the so-called neutral model of evolution is able to reproduce a number of key empirical observations, despite its simplicity and the assumption of no selective advantage of one cryptocurrency over another. Our results shed light on the properties of the cryptocurrency market and establish a first formal link between ecological modelling and the study of this growing system. We anticipate they will spark further research in this direction.

Citations (206)

Summary

  • The paper presents a holistic analysis of 1,469 cryptocurrencies using an ecological framework, uncovering stable market characteristics amid rapid growth.
  • The paper quantifies exponential market capitalization growth with a coefficient of 0.30 ± 0.02 and details Bitcoin's declining market share.
  • The paper employs a neutral evolution model to replicate key empirical observations, offering actionable insights for investors and future research.

Evolutionary Dynamics of the Cryptocurrency Market: An Analytical Perspective

The paper "Evolutionary Dynamics of the Cryptocurrency Market" offers a comprehensive examination of the cryptocurrency ecosystem, scrutinizing the market dynamics over a period from April 2013 to June 2017. The paper employs an ecological framework to analyze the statistical properties of a dataset comprising 1,469 cryptocurrencies, providing insights into both emergent patterns and stability in market characteristics.

Comprehensive Market Analysis

The research stands out by focusing on the entire cryptocurrency market rather than a single digital asset like Bitcoin. This holistic approach uncovers significant findings: despite the constant flux of new cryptocurrencies emerging and existing ones vanishing, the market exhibits a surprisingly stable set of characteristics over time. Elements such as the number of active cryptocurrencies, market share distributions, and turnover rates remain relatively constant, underscoring a form of equilibrium within this volatile industry.

Exponential Growth in Market Capitalization

One of the most significant numerical findings is the exponential growth of total market capitalization, which began rising sharply in late 2015. The market's capitalization, as of May 2017, is noted to be more than four times greater than during the same month in the previous year, with a documented exponential growth rate characterized by a coefficient (λ\lambda) of 0.30 ± 0.02.

Shifts in Market Dominance and Stability

Bitcoin, while initially dominant, has been losing market share to other cryptocurrencies, which have captured increasing portions of the market over time. The paper quantitatively describes this decline, estimating a potential drop of Bitcoin's market share to approximately 50% by 2025, assuming linear trends continue. Concurrently, the paper finds that the market shares of the top five cryptocurrencies excluding Bitcoin have shown a significant positive trend, emerging as more formidable competitors.

Neutral Model of Evolution

The paper adopts a neutral model of evolution to describe the cryptocurrency ecosystem, demonstrating its applicability through robust simulation results. Despite the model's simplicity, which assumes no selective advantage among cryptocurrencies, it successfully replicates key empirical observations: the power-law distributions of market shares, stability of the ranked positions of cryptocurrencies, and the turnover profile. Such conformity suggests that the observed market dynamics can be effectively explained without invoking complex selective mechanisms, indicating an equilibrium of competitive forces akin to those seen in ecological systems.

Theoretical and Practical Implications

From a theoretical standpoint, this research bridges ecological modeling with the complex, dynamic nature of cryptocurrency markets, offering a novel perspective on market evolution and stability. Practically, the insights from this paper bear implications for investors and policymakers. Understanding these dynamics aids in anticipating shifts in dominance among cryptocurrencies and strategizing accordingly at both micro and macro-economic levels.

Future Directions

Looking ahead, the research suggests several future directions. Enhanced models incorporating transaction-level data are recommended to account for individual actor behaviors, potentially providing deeper insights into the forces driving market changes. The paper hints that legislative, technical, and social developments will continue to influence market conditions, urging ongoing investigation into these influences. Additionally, expanding the scope of the paper to include impacts from hybrid technologies beyond the traditional Proof-of-Work and Proof-of-Stake models could offer further depth to the understanding of cryptocurrency market ecology.

In summary, this analysis provides a detailed and insightful look into the evolutionary dynamics of the cryptocurrency market, revealing stable market properties amidst exponential growth, and setting a foundational framework for future research into the complexities of digital financial ecosystems.