scholarly journals Financial Reporting Frequency and Corporate Innovation

2020 ◽  
Vol 63 (3) ◽  
pp. 501-530 ◽  
Author(s):  
Renhui Fu ◽  
Arthur Kraft ◽  
Xuan Tian ◽  
Huai Zhang ◽  
Luo Zuo
Author(s):  
Renhui Fu ◽  
Arthur Gerald Kraft ◽  
Xuan Tian ◽  
Huai Zhang ◽  
Luo Zuo

2018 ◽  
Vol 32 (3) ◽  
pp. 29-47
Author(s):  
Shou-Min Tsao ◽  
Hsueh-Tien Lu ◽  
Edmund C. Keung

SYNOPSIS This study examines the association between mandatory financial reporting frequency and the accrual anomaly. Based on regulatory changes in reporting frequency requirements in Taiwan, we divide our sample period into three reporting regimes: a semiannual reporting regime from 1982 to 1985, a quarterly reporting regime from 1986 to 1987, and a monthly reporting regime (both quarterly financial reports and monthly revenue disclosure) from 1988 to 1993. We find that although both switches (from the semiannual reporting regime to the quarterly reporting regime and from the quarterly reporting regime to the monthly reporting regime) hasten the dissemination of the information contained in annual accruals into stock prices and reduce annual accrual mispricing, the switch to monthly reporting has a lesser effect. Our results are robust to controlling for risk factors, transaction costs, and potential changes in accrual, cash flow persistence, and sample composition over time. These results imply that more frequent reporting is one possible mechanism to reduce accrual mispricing. JEL Classifications: G14; L51; M41; M48. Data Availability: Data are available from sources identified in the paper.


2020 ◽  
Author(s):  
Stephen A. Hillegeist ◽  
Asad Kausar ◽  
Arthur Gerald Kraft ◽  
You-il (Chris) Park

Author(s):  
Matthias Breuer ◽  
Christian Leuz ◽  
Steven Vanhaverbeke

2015 ◽  
Vol 30 (3) ◽  
pp. 63-77 ◽  
Author(s):  
Fengchun Tang ◽  
Christopher Kevin Eller ◽  
Benson Wier

ABSTRACT As management increasingly manages earnings through real activities manipulation (RAM), RAM detection has become an important issue. This study investigates the role of reporting frequency and presentation format in detecting sales-related RAM. Based on the results of an online experiment with 77 experienced financial analysts, we find that more frequent financial reporting significantly improves sales-related RAM detection when financial analysts are aided with graphical displays. The results of our study suggest that more frequent financial reporting has the potential to improve RAM detection by disclosing trends that are suggestive of RAM. Moreover, results indicate that graphical representation reduces the cognitive effort required to process a larger number of data points generated by more frequent reporting and thus provides a better cognitive fit than tabular representation. As a result, the combination of more frequent reporting and graphical support together may assist financial statement users in detecting certain types of RAM.


2020 ◽  
Vol 95 (6) ◽  
pp. 23-49 ◽  
Author(s):  
Salman Arif ◽  
Emmanuel T. De George

ABSTRACT This paper examines how low financial reporting frequency affects investors' reliance on alternative sources of earnings information. We find that the returns of semi-annual earnings announcers (i.e., low reporting frequency stocks [LRF]) are almost twice as sensitive to the earnings announcement returns of U.S. industry bellwether peers for non-reporting periods compared to reporting periods. Strikingly, these heightened spillovers are followed by return reversals when investors finally observe own-firm earnings at the subsequent semi-annual earnings announcement. This indicates that investors periodically overreact to peer-firm earnings news in the absence of own-firm earnings disclosures in interim periods. We also find elevated price volatility and trading volume around earnings announcements for non-reporting periods, consistent with theories of investor overconfidence. Collectively, our results suggest that investors are unable to successfully offset the information loss arising from low reporting frequency, thus impairing their ability to value firms and adversely affecting the quality of financial markets. JEL Classifications: M41; M48; G14. Data Availability: Data are available from the public sources cited in the text.


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