2012
DOI: 10.2139/ssrn.2294498
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Trading Costs of Asset Pricing Anomalies

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Cited by 187 publications
(153 citation statements)
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References 19 publications
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“…The ratio declines from 0.66 in the pre-decimal period to 0.24 in the post-decimal period, i.e., by about two-thirds. This 14 Our post-decimalization results on attenuation in anomaly profits complement those in Israel and Moskowitz (2012) as well as Frazzini, Israel, and Moskowitz (2012); however, our study is not directly comparable to these papers, because they focus primarily on size, value, and momentum and do not explicitly consider the post-decimalization period, whereas we consider twelve anomalies, and also focus on dramatic declines in trading costs and increases in trading activity that have occurred in the more recent years.…”
Section: Decimalizationmentioning
confidence: 75%
“…The ratio declines from 0.66 in the pre-decimal period to 0.24 in the post-decimal period, i.e., by about two-thirds. This 14 Our post-decimalization results on attenuation in anomaly profits complement those in Israel and Moskowitz (2012) as well as Frazzini, Israel, and Moskowitz (2012); however, our study is not directly comparable to these papers, because they focus primarily on size, value, and momentum and do not explicitly consider the post-decimalization period, whereas we consider twelve anomalies, and also focus on dramatic declines in trading costs and increases in trading activity that have occurred in the more recent years.…”
Section: Decimalizationmentioning
confidence: 75%
“…The transaction cost estimates are from Frazzini, Israel, and Moskowitz (2013), who estimated market impact functions in a sample of a trillion dollars of live trading data from a large institutional money manager. Their estimates provide predicted transaction costs as a function of the time period, aggregate volatility, idiosyncratic volatility, daily volume, size of the stock, and the amount traded.…”
Section: Robustness Analysismentioning
confidence: 99%
“…To compute predicted transaction costs for each stock, we used the coefficients from column 4 of Table 4 in Frazzini, Israel, and Moskowitz (2013). Panel A reports the results for all stocks, and Panel B reports the results for the largest 1,000 stocks.…”
Section: Notesmentioning
confidence: 99%
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“…Frazzini et al (2015) reported monthly turnover over 1998-2013 for the long-short SMB, HML, and MOM factor portfolios and an equally weighted composite factor portfolio of 66%, 71%, 122%, and 65%, respectively. For longonly versions of the factor portfolios (comparable to the country-based portfolios reported in Tables 2 and 3), if we assume that the turnover is half the reported numbers, the annual turnover becomes 396%, 426%, 732%, and 390%, respectively.…”
Section: Editor's Notementioning
confidence: 99%