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