2013
DOI: 10.1016/j.jempfin.2012.11.001
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A global approach to mutual funds market timing ability

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Cited by 28 publications
(26 citation statements)
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“…For the ease of interpretation, the time series of market liquidity is further demeaned by subtracting its prior 60-month average (L m,t−1 ). This finding is in sharp contradiction with the existing literature (Bodson, Cavenaile and Sougné, 2013;Cao, Simin and Wang, 2013). A positive (negative) timing coefficient indicates that the fund manager overweights (underweights) exposure to the factor f j t as market liquidity increases.…”
Section: A Multifactor Liquidity Timing Modelcontrasting
confidence: 89%
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“…For the ease of interpretation, the time series of market liquidity is further demeaned by subtracting its prior 60-month average (L m,t−1 ). This finding is in sharp contradiction with the existing literature (Bodson, Cavenaile and Sougné, 2013;Cao, Simin and Wang, 2013). A positive (negative) timing coefficient indicates that the fund manager overweights (underweights) exposure to the factor f j t as market liquidity increases.…”
Section: A Multifactor Liquidity Timing Modelcontrasting
confidence: 89%
“…Following the existing literature (e.g., Bodson, Cavenaile and Sougné, 2013;Cao, Simin and Wang, 2013), we mainly focus on domestic equity funds and include only U.S. funds with one of the following four investment objectives: (a) aggressive growth, (b) growth, (c) growth and income, and (d) income funds. The data include monthly returns, monthly total net assets (TNA) and fund investment objectives of all U.S. openend funds.…”
Section: Mutual Fundsmentioning
confidence: 99%
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“…In accordance with Bodson et al (2013), book-to-market and market size are entered into the same equation when estimating the beta variable for market timing. …”
Section: Datamentioning
confidence: 99%
“…Consistent with Bodson et al (2013), all factors are retrieved from the website of Robert Stambaugh 4 . Given that liquidity data is in months, whereas the mutual fund data is annual, annual averages are computed with the monthly data.…”
Section: Estimation Of Volatility Beta and Information Asymmetrymentioning
confidence: 99%