2000
DOI: 10.1111/0022-1082.00230
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Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment

Abstract: Weights in the Toronto Stock Exchange 300 index are determined by the market values of the included stocks' public f loats. In November 1996, the exchange implemented a previously announced revision of its definition of the public f loat. This revision, which increased the f loats and the index weights of 31 stocks, conveyed no information and had no effect on the legal duties of shareholders. Affected stocks experienced statistically significant excess returns of 2.3 percent during the event week, and no pric… Show more

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Cited by 354 publications
(226 citation statements)
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“…1 These potential price movements may be temporary (resulting from pressures) or permanent (resulting from downward-sloping demand curves). While some studies provide evidence consistent with institutional trading causing short-term price pressures (Harris and Gurel 1986;Lynch and Mendenhall 1997), results from other studies are consistent with institutional trading causing a shift in the supply curve and thus a price movement because of downward-sloping demand curves (Shleifer 1986;Kaul, Mehrotra, and Morck 2000;Gompers and Metrick 2001). 2 Alternatively, the price movements observed around corporate spin-offs may not result from preference-based institutional trading.…”
Section: Introductionmentioning
confidence: 95%
“…1 These potential price movements may be temporary (resulting from pressures) or permanent (resulting from downward-sloping demand curves). While some studies provide evidence consistent with institutional trading causing short-term price pressures (Harris and Gurel 1986;Lynch and Mendenhall 1997), results from other studies are consistent with institutional trading causing a shift in the supply curve and thus a price movement because of downward-sloping demand curves (Shleifer 1986;Kaul, Mehrotra, and Morck 2000;Gompers and Metrick 2001). 2 Alternatively, the price movements observed around corporate spin-offs may not result from preference-based institutional trading.…”
Section: Introductionmentioning
confidence: 95%
“…Therefore, no issues relating to the time 4 For related evidence on low returns for stocks with high idiosyncratic volatility relative to the Fama and French (1993) model, see Ang et al (2006). 5 See Shleifer (1986), Kaul, Mehrotra, and Morck (2000), and Hegde and McDermott (2003). 6 Time-series studies on block purchases and sales of stocks, as well as the trades of institutional investors, have consistently uncovered evidence of temporary price pressure on individual securities conditional upon unusual demand (Lakonishok, Shleifer, andVishny 1991, 1992;Lakonishok 1993, 1995).…”
mentioning
confidence: 99%
“…An important consideration for event studies, and particularly those with long event windows, is the choice of benchmark against which abnormal returns are estimated (Lyon, Barber, & Tsai, 1999: 165). Different benchmarks have been used in other studies, for example a standard market model (Kaul, Mehrotra, & Morck, 2000;Chen, Noronha, & Singal, 2004;Shankar & Miller, 2006) and a capital asset pricing model (CAPM) (Amihud & Mendelson, 1986;Elliot, Van Ness, Walker, & Wan, 2006;Shankar & Miller, 2006). These benchmarks have been shown to be inadequate -the CAPM, in particular, fails to account for expected returns on the basis of company size, as well as growth versus value (Fama & French, 1992;1993;1996;1998) and resource versus non-resource shares -which is relevant especially in the South African context (Van Rensburg 2001;Van Rensburg & Robertson 2003a, 2003b.…”
Section: Methodsmentioning
confidence: 99%