Native Market Factors for Pricing Cryptocurrencies

Tomé Lima, H. Sebastião
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Abstract

The cryptocurrency market has been growing frantically in number of cryptocurrencies, online exchanges, and market capitalization, which has amplified the need for comprehensive and robust pricing models. Using a database of all eligible cryptocurrencies listed on the CoinMarketCap website, we study the relationship between returns and several potential pricing factors, such as size (market capitalization), momentum, liquidity, and maturity. The analysis was conducted from December 27, 2013, to December 29, 2020, using weekly data for 3'667 cryptocurrencies. Results point out that portfolios of cryptocurrencies with smaller market capitalization, higher reversal, lower liquidity, and lower maturity tend to offer higher returns. The 5-factor model that additionally includes illiquidity and maturity performs better than the 3-factor model previously proposed in the literature, meaning that illiquidity and maturity significantly help capture the cross-sectional cryptocurrency risk premia. The 5-factor model presented seems robust to different procedures to construct portfolios and factors.
加密货币定价的本地市场因素
加密货币市场的加密货币数量、在线交易所和市值都在疯狂增长,这就更加需要全面而稳健的定价模型。我们利用 CoinMarketCap 网站上列出的所有符合条件的加密货币数据库,研究了收益与规模(市值)、动量、流动性和成熟度等几个潜在定价因素之间的关系。分析时间为 2013 年 12 月 27 日至 2020 年 12 月 29 日,使用的是 3,667 种加密货币的每周数据。结果表明,市值较小、反转率较高、流动性较低和成熟度较低的加密货币组合往往能提供更高的回报。与之前文献中提出的 3 因子模型相比,额外包含非流动性和成熟度的 5 因子模型表现更好,这意味着非流动性和成熟度大大有助于捕捉横截面加密货币风险溢价。所提出的 5 因子模型似乎对构建投资组合和因子的不同程序都很稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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