The liquidity timing ability of mutual funds

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2024-05-27 DOI:10.1016/j.najef.2024.102201
Zhengnan Yin, Niall O’Sullivan, Meadhbh Sherman
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Abstract

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.

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共同基金的流动性择时能力
我们运用 Jiang(2003 年)的非参数方法检验了三个国家(美国、英国和中国)的个人股票共同基金的市场流动性择时技巧。我们使用简单平均法(跨股票)以及基于六种股票流动性测量方法的渐近主成分分析法(APCA)计算月度股票市场流动性。使用 APCA 方法对市场流动性进行横向衡量,我们发现在 5%的显著性水平下,相对较少的基金在 2000-2021 年期间表现出了统计上积极的流动性择时技巧。在对滞后的市场流动性信息进行控制后,我们发现使用非参数方法仍有少数共同基金具有条件性流动性择时能力。
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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
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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