{"title":"活跃加密货币市场的结构变化分析","authors":"C. Y. Tan, Y. Koh, Kok Haur Ng","doi":"10.21315/aamjaf2022.18.2.4","DOIUrl":null,"url":null,"abstract":"Motivated by the large frequent price fluctuation and excessive volatility observed in the cryptocurrency market, this study adopts Bai and Perron’s structural change model by incorporating the trading volume and autoregressive variables to examine the number and location of change points in daily closing price, return and volatility proxied by the squared return of Cryptocurrency Index, Cryptocurrency Index 30, and the top 10 cryptocurrencies ranked according to market capitalisation. Results show that the structural changes occur very frequently for the price series, followed by squared return and return series which were consistently observed between December 2017 to April 2018. In addition, the results also reveal that the two cryptocurrency indices may not be beneficial as an indicator to reflect the whole cryptocurrency market for the entire studied period as these two indices do not display consistent structural change in contrast to the top 10 cryptocurrencies that might have significant implications for modelling the cryptocurrency data.","PeriodicalId":44370,"journal":{"name":"Asian Academy of Management Journal of Accounting and Finance","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Structural Change Analysis of Active Cryptocurrency Market\",\"authors\":\"C. Y. Tan, Y. Koh, Kok Haur Ng\",\"doi\":\"10.21315/aamjaf2022.18.2.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motivated by the large frequent price fluctuation and excessive volatility observed in the cryptocurrency market, this study adopts Bai and Perron’s structural change model by incorporating the trading volume and autoregressive variables to examine the number and location of change points in daily closing price, return and volatility proxied by the squared return of Cryptocurrency Index, Cryptocurrency Index 30, and the top 10 cryptocurrencies ranked according to market capitalisation. Results show that the structural changes occur very frequently for the price series, followed by squared return and return series which were consistently observed between December 2017 to April 2018. In addition, the results also reveal that the two cryptocurrency indices may not be beneficial as an indicator to reflect the whole cryptocurrency market for the entire studied period as these two indices do not display consistent structural change in contrast to the top 10 cryptocurrencies that might have significant implications for modelling the cryptocurrency data.\",\"PeriodicalId\":44370,\"journal\":{\"name\":\"Asian Academy of Management Journal of Accounting and Finance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2019-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Academy of Management Journal of Accounting and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21315/aamjaf2022.18.2.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Academy of Management Journal of Accounting and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21315/aamjaf2022.18.2.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Structural Change Analysis of Active Cryptocurrency Market
Motivated by the large frequent price fluctuation and excessive volatility observed in the cryptocurrency market, this study adopts Bai and Perron’s structural change model by incorporating the trading volume and autoregressive variables to examine the number and location of change points in daily closing price, return and volatility proxied by the squared return of Cryptocurrency Index, Cryptocurrency Index 30, and the top 10 cryptocurrencies ranked according to market capitalisation. Results show that the structural changes occur very frequently for the price series, followed by squared return and return series which were consistently observed between December 2017 to April 2018. In addition, the results also reveal that the two cryptocurrency indices may not be beneficial as an indicator to reflect the whole cryptocurrency market for the entire studied period as these two indices do not display consistent structural change in contrast to the top 10 cryptocurrencies that might have significant implications for modelling the cryptocurrency data.
期刊介绍：
To provide a forum for the exchange of ideas and dissemination of empirical findings and analytical research in the specialized areas of accounting and finance with special emphasis on scholarly works with policy implications for countries in the Asia Pacific. The following are some of the topical subject areas relevant to the journal (but are not limited to): Accounting • Financial reporting and accounting standards • Auditing issues • Value based accounting and its relevance • Theory of accounting firm • Environmental auditing • Corporate governance issues • Public sector accounting Finance • Valuation of financial assets • International capital flows • Ownership and agency theory • Stock market behavior • Investment and portfolio management • Islamic banking and finance • Microstructures of financial markets
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