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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

An empirical analysis of press monitoring in China's publicly traded companies.

January 2008 (has links)
Yin, Xiani. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 58-59). / Abstracts in English and Chinese. / ABSTRACT --- p.ii / 摘要 --- p.iii / ACKNOWLEDGEMENTS --- p.iv / ABSTRACT --- p.ii / Chapter Chapter 1. --- Introduction --- p.8 / Chapter Chapter 2. --- Literature Review --- p.14 / Chapter Chapter 3. --- Institutional Background of the Political Control of Chinese Media --- p.19 / Chapter Chapter 4. --- Data and Sample Selection --- p.24 / Chapter 4.1 --- Data source --- p.24 / Chapter 4.2 --- Sample selection --- p.25 / Chapter 4.3 --- News collection --- p.28 / Chapter Chapter 5. --- Summary Statistics --- p.29 / Chapter Chapter 6. --- Methodology --- p.33 / Chapter 6.1 --- Event study --- p.33 / Chapter 6.2 --- Using CAR to calculate the overall market response after earnings announcement --- p.36 / Chapter 6.3 --- Measuring announcement date effects on stock performances --- p.36 / Chapter 6.4 --- Measuring news effect using CAR and Statistical Inference --- p.37 / Chapter Chapter 7. --- Empirical Results --- p.39 / Chapter 7.2 --- Overall market response after the earnings announcement --- p.42 / Chapter 7.3 --- Market reaction to official earnings announcements --- p.43 / Chapter 7.4 --- Market reaction to news report ´ؤ event study --- p.44 / Chapter 7.5 --- Differentiate higher circulation news effects on the market from lower circulation news --- p.47 / Chapter 7.6 --- Differentiate regional publications news effects on the market from national publications news --- p.48 / Chapter 7.7 --- Relationship between the number of news items and Cumulative Abnormal Return --- p.49 / Chapter 7.8 --- Relationship between “news influence coefficient´ح and Cumulative Abnormal Return: --- p.51 / Chapter 7.9 --- "Relationship between “news influence coefficient´ح, CAR, and number of restructuring activities in the second year" --- p.53 / Chapter 7.10 --- "Relationship between the number of restructuring activities, CAR, different news influence coefficient, and the third year ROE change" --- p.55 / Chapter Chapter 8. --- Conclusion --- p.57 / Tables --- p.61 / Table 1 Summary Statistics on Basic Information of the Sample --- p.61 / Table 2 Summary Statistics on ROE Change --- p.61 / Table 3 Two-sample Mean Comparison Test of the Earnings Performance Between the Subgroup with Negative News and the Subgroup Without Negative News --- p.62 / Table 4 Statistics about the number of restructuring activities of the companies with negative news --- p.63 / Table 5 Daily Average CAR over Different Periods --- p.64 / Table 6 Two-sample Mean Comparison Test --- p.65 / Table 7 Average Abnormal Returns From 3 Days Before Announcement to 10 Days After Announcement --- p.66 / Table 8 Abnormal Returns on the First Headline News Date and First Negative News Date --- p.67 / Table 9 Cumulative Abnormal Returns 10 Days After the First Headline News and First Negative News in a Clean Comparison --- p.68 / Table 10 Cumulative Abnormal Returns 10 Days After the First Headline News and First Negative News --- p.69 / Table 11 Comparisons of the CAR Between Higher and Lower Circulation News --- p.71 / Table 12 Comparisons of CAR Between Regional and National First Headline News --- p.72 / Table 13 Linear Regression Results With Dummy Variables --- p.73 / Table 14 Linear Regression Results with Number of News Items --- p.77 / Table 15 Linear Regression Results With “news influence coefficient´ح --- p.80 / Table 16 Poisson Regression Results with Number of News --- p.84 / Table 17 Linear Regression Results with Number of News --- p.86 / Table 18 Final Event Study Results --- p.88 / "Figure 1: Average CAR across Sample over (-3, 90) Days" --- p.92 / Appendix 1: Sample Companies --- p.93 / Appendix 2: Record of News Reports for Each Firm --- p.96 / Appendix 3: Number of Restructuring Activities During the Second Year --- p.99

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