{"title":"共同基金的流动性择时能力","authors":"Zhengnan Yin, Niall O’Sullivan, Meadhbh Sherman","doi":"10.1016/j.najef.2024.102201","DOIUrl":null,"url":null,"abstract":"<div><p>We apply the nonparametric methodology of Jiang (2003) to test the market liquidity timing skills across individual equity mutual funds in three countries (the US, UK, and China). We calculate the monthly stock market liquidity using simple averages (across stocks) as well as the asymptotic principal component analysis (APCA) method based on six stock liquidity measures. Using an across-measure of market liquidity from APCA, we find a relatively small number of funds demonstrate statistically positive liquidity timing skills at a 5% significance level for the period of 2000–2021. After controlling for lagged market liquidity information, we still find a small number of mutual funds that have conditional liquidity timing ability using the nonparametric method.</p></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"74 ","pages":"Article 102201"},"PeriodicalIF":3.8000,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1062940824001268/pdfft?md5=80ee3355f9a3f91cc335f6274d6b35f5&pid=1-s2.0-S1062940824001268-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The liquidity timing ability of mutual funds\",\"authors\":\"Zhengnan Yin, Niall O’Sullivan, Meadhbh Sherman\",\"doi\":\"10.1016/j.najef.2024.102201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We apply the nonparametric methodology of Jiang (2003) to test the market liquidity timing skills across individual equity mutual funds in three countries (the US, UK, and China). We calculate the monthly stock market liquidity using simple averages (across stocks) as well as the asymptotic principal component analysis (APCA) method based on six stock liquidity measures. Using an across-measure of market liquidity from APCA, we find a relatively small number of funds demonstrate statistically positive liquidity timing skills at a 5% significance level for the period of 2000–2021. After controlling for lagged market liquidity information, we still find a small number of mutual funds that have conditional liquidity timing ability using the nonparametric method.</p></div>\",\"PeriodicalId\":47831,\"journal\":{\"name\":\"North American Journal of Economics and Finance\",\"volume\":\"74 \",\"pages\":\"Article 102201\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1062940824001268/pdfft?md5=80ee3355f9a3f91cc335f6274d6b35f5&pid=1-s2.0-S1062940824001268-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"North American Journal of Economics and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1062940824001268\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940824001268","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
We apply the nonparametric methodology of Jiang (2003) to test the market liquidity timing skills across individual equity mutual funds in three countries (the US, UK, and China). We calculate the monthly stock market liquidity using simple averages (across stocks) as well as the asymptotic principal component analysis (APCA) method based on six stock liquidity measures. Using an across-measure of market liquidity from APCA, we find a relatively small number of funds demonstrate statistically positive liquidity timing skills at a 5% significance level for the period of 2000–2021. After controlling for lagged market liquidity information, we still find a small number of mutual funds that have conditional liquidity timing ability using the nonparametric method.
期刊介绍：
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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