Book-to-Market Decomposition and the Accrual Anomaly

2011 ◽  
Author(s):  
Xiaoquan Jiang ◽  
Yunhao Chen
Keyword(s):  
Accrual Anomaly

The Accrual Anomaly in Australia: A Closer Look at Trading Strategy Returns

2010 ◽  
Author(s):  
Stephen L. Taylor ◽  
Leon Wong
Keyword(s):  
Trading Strategy ◽  
Accrual Anomaly

Information Asymmetry and the Accrual Anomaly

2013 ◽  
Author(s):  
Ingoo Han ◽  
Bo Young Kim ◽  
Jaywon Lee ◽  
Sang Hyun Park
Keyword(s):  
Information Asymmetry ◽  
Accrual Anomaly

(Presentation Slides) Do Short-Sellers Arbitrage the Accrual Anomaly?

2010 ◽  
Author(s):  
David A. Hirshleifer ◽  
Siew Hong Teoh ◽  
Jeff Jiewei Yu
Keyword(s):  
Accrual Anomaly ◽  
Short Sellers

Can Cyclical Property of Accruals Explain the Accrual Anomaly?

2006 ◽  
Author(s):  
Xiumin Martin
Keyword(s):  
Accrual Anomaly

Earnings management and accrual anomaly across market states and business cycles

2012 ◽  
Vol 28 (2) ◽  
pp. 344-352 ◽  
Author(s):  
Samuel Y.M. Ze-To
Keyword(s):  
Business Cycles ◽  
Earnings Management ◽  
Accrual Anomaly

Have existing theories explained the accrual anomaly? An evaluation based on the decomposition method

2021 ◽  
Author(s):  
Zhi‐an Hu ◽  
Zhuo Huang ◽  
Dawei Lin ◽  
Zhimin Qiu
Keyword(s):  
Decomposition Method ◽  
Accrual Anomaly

An Integrated Analysis of the Association between Accrual Disclosure and the Abnormal Accrual Anomaly

2006 ◽  
Author(s):  
Henock Louis ◽  
Dahlia Robinson ◽  
Andrew M. Sbaraglia
Keyword(s):  
Integrated Analysis ◽  
Accrual Anomaly

Fundamental analysis, low accruals, and the accrual anomaly: Korean evidence

2021 ◽  
pp. 1-16
Author(s):  
Young Jun Kim ◽  
Jung Hoon Kim ◽  
Sewon Kwon ◽  
Su Jeong Lee
Keyword(s):  
Fundamental Analysis ◽  
Accrual Anomaly ◽  
Korean Evidence

Revisiting the (Mis)Pricing of Accruals

2019 ◽  
Vol 4 (1) ◽  
pp. 141-156
Author(s):  
Bradley Lail ◽  
Robert C. Lipe ◽  
Han S. Yi
Keyword(s):  
Stock Returns ◽  
Null Hypothesis ◽  
Statistical Tests ◽  
Cash Flows ◽  
Data Availability ◽  
Investor Behavior ◽  
Reliability Measures ◽  
Accrual Anomaly ◽  
Earnings Components ◽  
Jel Classifications

Our paper examines inconsistent conclusions regarding the accrual anomaly and demonstrates the importance of aligning regression specifications with hypotheses. Richardson, Sloan, Soliman, and Tuna (2005) conclude that accruals are mispriced and the mispricing seems to increase as accrual reliability decreases. Barone and Magilke (2009) and Ball, Gerakos, Linnainmaa, and Nikolaev (2016) conclude that cash flows rather than accruals are mispriced. We show that the divergent conclusions come from misalignment between the null hypothesis and regression specification in Richardson et al. (2005) . In addition, analysis of the contemporaneous relations between stock returns and components of earnings supports an initial underreaction to cash flows by investors. We fail to detect links between the reliability measures in Richardson et al. (2005) and investor behavior once we align the statistical tests with the null hypothesis. Our reexamination of prior findings benefits accounting academics, standard setters, and others interested in how investors use earnings components. JEL Classifications: M41. Data Availability: All data used in this study are publicly available from the sources identified in the text.

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