2018
DOI: 10.2139/ssrn.3117663
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Asset Pricing: A Tale of Night and Day

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Cited by 13 publications
(14 citation statements)
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“…Betting against beta cannot explain the findings of this paper for at least two reasons: First, as shown in the previous section (see Figure 9), the cross section of intraday declines following overnight market declines are better defined with idiosyncratic volatility, compared to beta. Second, in the other days, that is, following overnight surges, intraday returns tend to increase with beta, which does not match the pattern observed by Hendershott, Livdan, and Rösch (2018). They document average intraday returns, that are decreasing in beta.…”
Section: Betting Against Betamentioning
confidence: 73%
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“…Betting against beta cannot explain the findings of this paper for at least two reasons: First, as shown in the previous section (see Figure 9), the cross section of intraday declines following overnight market declines are better defined with idiosyncratic volatility, compared to beta. Second, in the other days, that is, following overnight surges, intraday returns tend to increase with beta, which does not match the pattern observed by Hendershott, Livdan, and Rösch (2018). They document average intraday returns, that are decreasing in beta.…”
Section: Betting Against Betamentioning
confidence: 73%
“…Although the focus of Hendershott, Livdan, and Rösch (2018) is essentially different from that of this paper, and they do not document declines and reversals that mainly occur following overnight market declines, one can try evaluating betting against beta as an alternative explanation for the findings of this paper.…”
Section: Betting Against Betamentioning
confidence: 83%
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“…Our paper contributes to a literature that distinguishes price movements during trading hours from those when markets are closed (e.g., Cliff et al 2008; Barclay and Hendershott 2008;Hendershott et al 2018;see also French and Roll 1986). Our modification highlights the importance of time-matched price movement and trading volume inputs for Amihud's liquidity measure.…”
Section: Introductionmentioning
confidence: 81%
“…Some authors also included macroeconomic factors [14], or human capital [15], or growth in consumption [8].This model has the following basic formula:…”
Section: Beta and Leveragementioning
confidence: 99%