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Titlebook: A Reappraisal of the Efficiency of Financial Markets; Rui M. C. Guimar?es,Brian G. Kingsman,Stephen J. T Conference proceedings 1989 Sprin

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樓主: ISH
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發(fā)表于 2025-3-23 11:50:14 | 只看該作者
12#
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13#
發(fā)表于 2025-3-23 19:11:31 | 只看該作者
,Vorprüfung anorganischer Stoffe,rices. The author concentrates on documenting the presence of irregularities in stock price behaviour on the London market. From the different studies it is clear that using more detailed data can lead to different results. It is therefore remarkable that the author only uses monthly data, instead o
14#
發(fā)表于 2025-3-23 23:57:42 | 只看該作者
15#
發(fā)表于 2025-3-24 05:55:24 | 只看該作者
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發(fā)表于 2025-3-24 08:46:38 | 只看該作者
17#
發(fā)表于 2025-3-24 13:02:03 | 只看該作者
https://doi.org/10.1007/978-3-662-39491-5s other exchanges. Using both parametric and non-parametric tests, the authors find a day-of-the-week pattern similar to that documented previously for European, Japanese and Australian exchanges — to wit, stock returns tend to be low in the beginning of the week and highest on Friday. Also, consist
18#
發(fā)表于 2025-3-24 15:56:54 | 只看該作者
,Vorprüfung anorganischer Stoffe,tests are reported on. After that, we give results of some anomalies tests, concerning weekday, month-of-the-year, and ex-day effects. We find deviations from the random walk hypothesis of about the same magnitude as have been found for the Scandinavian stock markets in more recent times. As for ano
19#
發(fā)表于 2025-3-24 22:09:41 | 只看該作者
,Vorprüfung anorganischer Stoffe,daily data for the 25 firms over the 11 year period. Briefly, I will restrict my comments to three main areas: (1) the role of this type of study; (2) the quality of the data; and (3) the tests of weak form efficiency.
20#
發(fā)表于 2025-3-25 01:20:30 | 只看該作者
Sedimente und Concremente des Harns,ive skewness. Grouping stocks into portfolios reduces this skewness. However, the skewness of equally weighted portfolios shows a markedly different pattern in January. In January, the portfolio skewness is significantly positive. A one factor APT model is used to interpret our empirical findings. S
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