Christian Fieberg, Gerrit Liedtke, Daniel Metko, Adam Zaremba
{"title":"加密货币因素动量","authors":"Christian Fieberg, Gerrit Liedtke, Daniel Metko, Adam Zaremba","doi":"10.1080/14697688.2023.2269999","DOIUrl":null,"url":null,"abstract":"AbstractIs there a momentum effect in cryptocurrency anomalies? To answer this, we analyze data from over 3900 coins spanning the years 2014 to 2022 and replicate 34 anomalies in the cross-section of cryptocurrency returns. We document a discernible pattern in factor premia: past winners consistently outperform losers. The effect persists across subperiods, withstands various methodological approaches, and its magnitude parallels that of its stock market counterpart. However, the autocorrelation in factor returns is not widespread and primarily stems from size and volatility anomalies. Additionally, unlike in stocks, cryptocurrency factor momentum originates from price momentum, which subsequently transfers to the factor level.Keywords: Factor momentumCryptocurrency anomaliesThe cross-section of cryptocurrency returnsReturn predictabilityJEL Classifications: G12G14G11G10 Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Note that the mean return of the cross-sectional factor momentum strategy is half of the difference between its long and short legs.2 See Table IA.I on page 3 in the Internet Appendix to Ehsani and Linnainmaa (Citation2022).3 Specifically, at the beginning of each portfolio holding period, we include only those cryptocurrencies with an Amihud (Citation2002) measure below the 50% and 25% percentile (see table 2 for the variable description). Note that the cryptocurrency market is extremely skewed as a few large cryptocurrencies account for the majority of the aggregate market capitalization. By only looking at the 50% and 25% most liquid cryptocurrencies, we still cover, on average, 98.6% and 97.1% of the aggregate market capitalization, respectively. Therefore, this restricted sample is of high relevance for real-world cryptocurrency trading.Additional informationFundingThis work was supported by Narodowe Centrum Nauki [2021/41/B/HS4/02443].","PeriodicalId":20747,"journal":{"name":"Quantitative Finance","volume":"192 1","pages":"0"},"PeriodicalIF":1.5000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cryptocurrency factor momentum\",\"authors\":\"Christian Fieberg, Gerrit Liedtke, Daniel Metko, Adam Zaremba\",\"doi\":\"10.1080/14697688.2023.2269999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractIs there a momentum effect in cryptocurrency anomalies? To answer this, we analyze data from over 3900 coins spanning the years 2014 to 2022 and replicate 34 anomalies in the cross-section of cryptocurrency returns. We document a discernible pattern in factor premia: past winners consistently outperform losers. The effect persists across subperiods, withstands various methodological approaches, and its magnitude parallels that of its stock market counterpart. However, the autocorrelation in factor returns is not widespread and primarily stems from size and volatility anomalies. Additionally, unlike in stocks, cryptocurrency factor momentum originates from price momentum, which subsequently transfers to the factor level.Keywords: Factor momentumCryptocurrency anomaliesThe cross-section of cryptocurrency returnsReturn predictabilityJEL Classifications: G12G14G11G10 Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Note that the mean return of the cross-sectional factor momentum strategy is half of the difference between its long and short legs.2 See Table IA.I on page 3 in the Internet Appendix to Ehsani and Linnainmaa (Citation2022).3 Specifically, at the beginning of each portfolio holding period, we include only those cryptocurrencies with an Amihud (Citation2002) measure below the 50% and 25% percentile (see table 2 for the variable description). Note that the cryptocurrency market is extremely skewed as a few large cryptocurrencies account for the majority of the aggregate market capitalization. By only looking at the 50% and 25% most liquid cryptocurrencies, we still cover, on average, 98.6% and 97.1% of the aggregate market capitalization, respectively. Therefore, this restricted sample is of high relevance for real-world cryptocurrency trading.Additional informationFundingThis work was supported by Narodowe Centrum Nauki [2021/41/B/HS4/02443].\",\"PeriodicalId\":20747,\"journal\":{\"name\":\"Quantitative Finance\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/14697688.2023.2269999\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/14697688.2023.2269999","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
摘要
加密货币异常是否存在动量效应?为了回答这个问题,我们分析了2014年至2022年期间超过3900种硬币的数据,并在加密货币回报的横截面中复制了34种异常情况。我们记录了一个明显的要素溢价模式:过去的赢家的表现始终优于输家。这种效应在不同时期持续存在,经受住了各种方法的考验,其规模与股票市场的规模相当。然而,因子收益的自相关性并不普遍,主要源于规模和波动异常。此外,与股票不同的是,加密货币因素动量源于价格动量,随后转移到因素水平。关键词:因子动量加密货币异常加密货币收益横截面收益可预测性jel分类:G12G14G11G10披露声明作者未报告潜在利益冲突。注1请注意,横截面因子动量策略的平均收益是其长短腿之差的一半见表IA。2 . Ehsani and Linnainmaa (Citation2022)互联网附录第3页具体来说,在每个投资组合持有量开始时,我们只包括那些Amihud (Citation2002)指标低于50%和25%百分位数的加密货币(见表2的变量描述)。请注意,加密货币市场极度扭曲,因为少数大型加密货币占总市值的大部分。如果只看流动性最高的50%和25%的加密货币,我们仍然平均分别覆盖总市值的98.6%和97.1%。因此,这个受限制的样本与现实世界的加密货币交易高度相关。本研究由Narodowe Centrum Nauki [2021/41/B/HS4/02443]资助。
AbstractIs there a momentum effect in cryptocurrency anomalies? To answer this, we analyze data from over 3900 coins spanning the years 2014 to 2022 and replicate 34 anomalies in the cross-section of cryptocurrency returns. We document a discernible pattern in factor premia: past winners consistently outperform losers. The effect persists across subperiods, withstands various methodological approaches, and its magnitude parallels that of its stock market counterpart. However, the autocorrelation in factor returns is not widespread and primarily stems from size and volatility anomalies. Additionally, unlike in stocks, cryptocurrency factor momentum originates from price momentum, which subsequently transfers to the factor level.Keywords: Factor momentumCryptocurrency anomaliesThe cross-section of cryptocurrency returnsReturn predictabilityJEL Classifications: G12G14G11G10 Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Note that the mean return of the cross-sectional factor momentum strategy is half of the difference between its long and short legs.2 See Table IA.I on page 3 in the Internet Appendix to Ehsani and Linnainmaa (Citation2022).3 Specifically, at the beginning of each portfolio holding period, we include only those cryptocurrencies with an Amihud (Citation2002) measure below the 50% and 25% percentile (see table 2 for the variable description). Note that the cryptocurrency market is extremely skewed as a few large cryptocurrencies account for the majority of the aggregate market capitalization. By only looking at the 50% and 25% most liquid cryptocurrencies, we still cover, on average, 98.6% and 97.1% of the aggregate market capitalization, respectively. Therefore, this restricted sample is of high relevance for real-world cryptocurrency trading.Additional informationFundingThis work was supported by Narodowe Centrum Nauki [2021/41/B/HS4/02443].
期刊介绍:
The frontiers of finance are shifting rapidly, driven in part by the increasing use of quantitative methods in the field. Quantitative Finance welcomes original research articles that reflect the dynamism of this area. The journal provides an interdisciplinary forum for presenting both theoretical and empirical approaches and offers rapid publication of original new work with high standards of quality. The readership is broad, embracing researchers and practitioners across a range of specialisms and within a variety of organizations. All articles should aim to be of interest to this broad readership.