Characteristics of price related fluctuations in Non-Fungible Token (NFT) market
arXiv:2310.19747 · doi:10.1063/5.0185306
Abstract
A non-fungible token (NFT) market is a new trading invention based on the blockchain technology which parallels the cryptocurrency market. In the present work we study capitalization, floor price, the number of transactions, the inter-transaction times, and the transaction volume value of a few selected popular token collections. The results show that the fluctuations of all these quantities are characterized by heavy-tailed probability distribution functions, in most cases well described by the stretched exponentials, with a trace of power-law scaling at times, long-range memory, and in several cases even the fractal organization of fluctuations, mostly restricted to the larger fluctuations, however. We conclude that the NFT market - even though young and governed by a somewhat different mechanisms of trading - shares several statistical properties with the regular financial markets. However, some differences are visible in the specific quantitative indicators.
References in corpus (25)
- Mapping the NFT revolution: market trends, trade networks and visual features
- Multiscale characteristics of the emerging global cryptocurrency market
- Heterogeneous rarity patterns drive price dynamics in NFT collections
- Complexity in economic and social systems: cryptocurrency market at around COVID-19
- Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19
- The foreign exchange market: return distributions, multifractality, anomalous multifractality and Epps effect
- Signatures of crypto-currency market decoupling from the Forex
- Genuine multifractality in time series is due to temporal correlations
- Cryptocurrencies Are Becoming Part of the World Global Financial Market
- Long-term correlations and multifractal nature in the intertrade durations of a liquid Chinese stock and its warrant
- Financial Return Distributions: Past, Present, and COVID-19
- Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19
- Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time
- One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles
- Economic state classification and portfolio optimisation with application to stagflationary environments
- What is mature and what is still emerging in the cryptocurrency market?
- Efficiency of communities and financial markets during the 2020 pandemic
- Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
- Collective dynamics, diversification and optimal portfolio construction for cryptocurrencies
- Time-varying properties of asymmetric volatility and multifractality in Bitcoin
- Non-fungible token transactions: data and challenges
- NFT Wash Trading: Quantifying suspicious behaviour in NFT markets
- Evolutionary correlation, regime switching, spectral dynamics and optimal trading strategies for cryptocurrencies and equities
- An exploration of the mathematical structure and behavioural biases of 21st century financial crises
- Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components