Accrual earnings management, real earnings management, and information uncertainty
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Accrual earnings management, real earnings management, and information uncertainty
Accrual earnings management, real earnings management, and information uncertainty
ACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty is submitted for the degree of Doctor of PhilosophyABSTRACTThe aim of this thesis is to contribute to the research on earnings management, by first investigating models of real earnings management, then extending the literature by examining both accrual and real earnings management within the contex Accrual earnings management, real earnings management, and information uncertainty t of information uncertainty. The thesis comprises of three main studies which analyse secondary data of firms with available data that are listed onAccrual earnings management, real earnings management, and information uncertainty
the London Stock Exchange during the period from 1992 to 2018.In the first empirical chapter, the relative performance of models to detect accrual earACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty gement detection models is evaluated through examining the frequency with which detection models of accrual earnings management and real earnings management generate type II errors. I adopt a similar approach to that used by Dechow et al. (1995) and Brown and Warner (1985) ill which I randomly selec Accrual earnings management, real earnings management, and information uncertainty t a sample of firm-year observations and artificially add accrual manipulation and real earnings management with the magnitude ranging from 0 percentAccrual earnings management, real earnings management, and information uncertainty
to 10 percent of lagged assets. I compare the bias in the estimates of accrual earnings management generated by Dechow et al. (1995). Kothari et al. (ACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty ction models for real eammgs management generates larger biased estimates of real earnings management activities compared to models to detect accrual-based earnings management. Among the three types of real earnings management activities, the power of the model for detecting real-based sales manipul Accrual earnings management, real earnings management, and information uncertainty ation IS lowest due to the biased estimates. Moreover, the power of the model for uncovering abnormal research and development (R&D) expenditure IS imAccrual earnings management, real earnings management, and information uncertainty
proved when lagged R&D expenditures is added to the existing model.The second empirical chapter investigates the role of information uncertainty 111 eACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty hmarks). To address endogeneity. Ill which there are potential differences in characteristics of suspect firms (i.e.. those beating earnings expectations) and non-suspect firms (i.e.. those missing earnings expectations). I apply propensity score matching (PSM) developed by Rosenbaum and Rubin (1983 Accrual earnings management, real earnings management, and information uncertainty ) (Shipman et al.. 2016). More specifically, suspects are matched with non-suspects (by one-ito-one matching without replacement) that have the closesAccrual earnings management, real earnings management, and information uncertainty
t propensity-matching score. These scores are based on a range of different firm characteristics. In addition, this study also uses Heckman (1979) selACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty ntributes to the existing literature by determining the condition 111 which accrual-based earnings management occurs. Under the condition of high information uncertainty, managerial opportunistic behaviour is unobservable and difficult to detect by market participants: hence, the result shows that w Accrual earnings management, real earnings management, and information uncertainty hen facing high information uncertainty, managers of firms beating earnings expectation are more likely to use discretionary accruals. Moreover, managAccrual earnings management, real earnings management, and information uncertainty
ers of suspect firms also engage 111 earnings smoothing under the condition of high information uncertainty. In addition, this study contributes to thACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty gementThe last empirical chapter examines the effect of information uncertainty on the long-nm performance of films meeting beating earnings expectations. There is mixed evidence about whether market participants are irrationally over-optimistic about the information contained within earnings announ Accrual earnings management, real earnings management, and information uncertainty cements. The evidence provided in this chapter contributes to our knowledge on the interaction effect of information uncertainty on the mispricing ofAccrual earnings management, real earnings management, and information uncertainty
investors. Indeed, empirical results show that firms meeting beating earnings benchmarks underperform 111 the long-run period under high information uACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty sales growth in the fiscal year that earnings aie announced. The results are robust after using alternative measures of stock performance. The evidence overall suggests that the condition of information uncertainty is necessary for explaining irrational behaviour of investors. These findings indica Accrual earnings management, real earnings management, and information uncertainty te that future underperformance may follow managed earnings under high information uncertainty.iiACKNOWLEDGEMENTSTo make my PhD thesis possible, my MuAccrual earnings management, real earnings management, and information uncertainty
m and my Dad are always the sources of inspiration for 1UC to overcome obstacles OU the road to my achievements 1 have made, lheir endless love, encouACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty de for never leaving me alone whatever Ĩ get in my life, success, or failure. Ĩ also thank my husband for his patience in this long journey to complete my PhD thesis.T would like to wholeheartedly thank my supervisors. Professor Salma Ibrahim. and Dr George Giaimopoulos, without them 1 cannot go thi Accrual earnings management, real earnings management, and information uncertainty s far. They not only have shared me with then expertise, knowledge, but also have helped me overcome difficult rime during my PhD journey. Absolutely,Accrual earnings management, real earnings management, and information uncertainty
the experience that 1 have had when working with my supervisors is absolutely one of the best. 1 get out of my PhD study.Iwould also like to thank KiACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty re. Especially. I am so thankful to Kingston Business School to provide me the full-funded studentship. Without this generous funding, I would not be able to achieve my dream about pursuing P11D program. 1 would like to thank the research panel committees and administrative staffs at Kingston Univer Accrual earnings management, real earnings management, and information uncertainty sity. Kingston Business School who conducted all paperwork and procedures related to my thesis.I am also thanktill to many other people who in one wayAccrual earnings management, real earnings management, and information uncertainty
or the other contribute to my PhD journey, rhe feedback and comments 1 received horn faculty, discussants and piuticipants al conferences are valuablACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty .........................................IACKNOWLEDGEMENTS.....................................................IllTABLE OF CONTENTS.....................................................IVLIST OF TABLES......................................................VIIILIST OF FIGI RES.......................... Accrual earnings management, real earnings management, and information uncertainty .............................XLIST OF ABBREVIATIONS.................................................XI1CHAPTER 1: THESIS INTRODUCTION.................Accrual earnings management, real earnings management, and information uncertainty
......................11.1Background of rhe thesis.........................................11.2Motivation of the thesis...............................ACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesi Accrual earnings management, real earnings management, and information uncertainty .5Main empirical findings..........................................61.6Structure of the thesis..........................................7ACCRUAL EARNINGS MANAGEMENT, REAL EARNINGS MANAGEMENT, AND INFORMATION UNCERTAINTYByThi Thu Ha NguyenKingston r DiversityKingston Business SchoolThesiGọi ngay
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