Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (leaves 121-126).

Thesis (M. Phil.)--University of Hong Kong, 2009. / Includes bibliographical references (leaves 53-56) Also available in print.

Thesis (M. Phil.)--University of Hong Kong, 2007. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--University of Oregon, 2004. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 89-93). Also available for download via the World Wide Web; free to University of Oregon users.

Thesis (Ph. D.)--University of Chicago, Faculty of the Graduate School of Business. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1959. / Typescript. Abstracted in Dissertation abstracts, v. 10 (1959) no. 3, p. 916-917. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves [344]-357).

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

I examine whether and how racially/ethnically diverse board impacts the quality of reported earnings. Agency theory suggests that the board of directors acts as a robust governance mechanism to reduce opportunistic managerial behavior that may harm shareholders' wealth. Further, diversity coalesces a variety of attributes from different directors that are valuable in predicting organizational outcomes. The majority of extant literature focuses on gender-diverse boards and various firm outcomes, while little is known about how directors' race/ethnicity affects earnings quality. Using a sample of firms publicly traded in the U.S., I find that increased board racial/ethnic diversity is associated with better earnings quality as proxied by lower discretionary accruals and lower probability of internal control weaknesses and financial statement restatements. I further examine whether firms with increased diversity (racial/ethnic and gender diversity) enjoy incrementally higher earnings quality than other firms. However, I fail to find support that racial/ethnic and gender intersectionality is associated with improved earnings quality. Lastly, based on critical mass theory, I test whether an industry descriptive norm is necessary for firms to enjoy increased earnings quality. I find that racial/ethnic directors have a meaningful impact on a firm's earnings quality regardless of the level of diversity; even firms with lower than the industry descriptive norm of racial/ethnic diversity enjoy improved earnings quality. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2021. / FAU Electronic Theses and Dissertations Collection

by Li, Man-kong, Vincent, Yee, Yat-pui, Yvonne. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1990. / Bibliography: leaves 92-94. / Library's copy:Disk for circulation (3.5 in.) / TABLE OF CONTENTS / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / LIST OF TABLES --- p.v / ACKNOWLEDGEMENTS --- p.vi / CHAPTER / Chapter I. --- INTRODUCTION --- p.1 / Importance of Earnings Forecast --- p.1 / Previous Research Findings --- p.3 / Objective --- p.5 / Chapter II. --- AN OVERVIEW OF EARNING FORECASTING --- p.6 / Methods of Forecasting --- p.6 / Financial Analyst's Model --- p.7 / Time-series Model --- p.9 / Common Belief Regarding Forecast Superiority --- p.10 / Chapter III. --- RESEARCH DESIGN AND METHOD OF ANALYSIS --- p.12 / General Framework --- p.12 / Choice of Companies and Time Period --- p.13 / Data Preparation --- p.16 / Actual Earning Data --- p.16 / Forecast Data by Financial Analyst --- p.17 / Adjustment of Data --- p.18 / Time Series Model Data --- p.20 / Generation of Time-series Data --- p.20 / The Time-series Model --- p.20 / Data Analysis --- p.25 / Definition of Forecast Error --- p.25 / Comparison of Forecast Accuracy --- p.26 / Grouping of Companies --- p.26 / Method of Comparison --- p.27 / Chapter IV. --- RESULTS OF ANALYSIS AND IMPLICATIONS --- p.30 / General Data Manipulation --- p.30 / Data For Analysis --- p.30 / Input Data --- p.30 / Computed Forecast Errors --- p.31 / Comparison of Forecast Accuracy --- p.31 / First Time Friedman Test Results --- p.31 / Full Cross-Sectional Dependence --- p.32 / Sectorial Dependence --- p.34 / Cross-Sectional Independence --- p.37 / Wilcoxon Signed Rank Test and Second Time Friedman Test --- p.41 / Full Cross-Sectional Dependence. --- p.42 / Sectorial Dependence --- p.43 / Cross-Sectional Independence --- p.44 / Chapter V. --- CONCLUSION AND DISCUSSION --- p.45 / Findings From Results of Study --- p.45 / Limitation of Study --- p.48 / Cost of Forecast --- p.48 / Sample Size and Length of Study Period --- p.48 / Limited Past Earning Data --- p.49 / Accounting Income Manipulation --- p.50 / Suggested Further Study --- p.50 / APPENDIX A --- p.52 / APPENDIX B --- p.53 / APPENDIX C --- p.56 / BIBLIOGRAPHY --- p.92

Sun Yuekang. / Thesis submitted in: October 1999. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 40-44). / Abstracts in English and Chinese.