2013
DOI: 10.1007/s11156-013-0410-8
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On the use of the market model R-square as a measure of stock price efficiency

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Cited by 15 publications
(10 citation statements)
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“…Hutton, Marcus, and Tehranian () further provide evidence that higher R 2 s are related to opaqueness, as well as a higher number of price crashes. Morck, Yeung, and Wayne () provide evidence that lower investor protection (in less developed countries) is associated with higher R 2 s. Bramante, Petrella, and Zappa () evaluate the R 2 as price efficiency.…”
Section: Increase In Price Response To Changes In Riskmentioning
confidence: 99%
“…Hutton, Marcus, and Tehranian () further provide evidence that higher R 2 s are related to opaqueness, as well as a higher number of price crashes. Morck, Yeung, and Wayne () provide evidence that lower investor protection (in less developed countries) is associated with higher R 2 s. Bramante, Petrella, and Zappa () evaluate the R 2 as price efficiency.…”
Section: Increase In Price Response To Changes In Riskmentioning
confidence: 99%
“…Chan and Chan (), focusing on SEO discounts, find that an increase in synchronicity reflects higher, not lower, informativeness. Bramante et al () come to a similar conclusion by examining the relation between market‐model R 2 and price delay in the US, China, and Poland using a much longer sample period than Morck et al () . Our paper complements these papers by addressing the endogeneity problem through a quasi‐natural experiment…”
Section: Introductionmentioning
confidence: 76%
“…Bramante et al () find a negative correlation between R 2 and price delay, and conclude that R 2 is a direct (i.e., positive) measure of stock price efficiency. Although their conclusion is the same as ours, their evidence is based on three countries in a cross‐sectional setting, leaving open the possibility that potentially important variables (e.g., culture) may be omitted from the analysis.…”
mentioning
confidence: 97%
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“…In order to compare the four models, two kinds of evaluation criterion are introduced: SSE and R-squared [28]. SSE denotes the quadratic sum of the errors between the fitted data and the corresponding points of the original data.…”
Section: Runway Width Design a Determination Of The Section With Largest Dispersionmentioning
confidence: 99%