Disclosure Overload? An Empirical Analysis of International Financial Reporting Standards Disclosure Requirements

2019 ◽  
Author(s):  
Amitav Saha ◽  
Richard Donald Morris ◽  
Helen Hyon Ju Kang
2009 ◽  
Vol 7 (1) ◽  
pp. 121-132
Author(s):  
Steve L. Gill ◽  
Damon M. Fleming ◽  
G. E. Whittenburg

ABSTRACT: Multiple revisions in recent years to IRC §6694, IRC §6662, U.S. Generally Accepted Accounting Principles (GAAP), and International Financial Reporting Standards (IFRS) have created conflicting recognition and disclosure requirements for uncertain tax positions. This paper reviews the existing recognition thresholds under these various standards—“reasonable basis,” “substantial authority,” and “more-likely-than-not”—and discusses scenarios in which the standards may cause reporting conflicts between tax and financial reporting. This paper also reviews the extant disclosure guidance for uncertain tax positions included in tax and financial reporting, with a particular emphasis on the newly issued proposed IRS regulations regarding general and specific-item disclosures for tax return preparers.


2018 ◽  
Vol 26 (2) ◽  
pp. 158-169
Author(s):  
Umi Wahidah ◽  
Sri Ayem

This research aimed to examine the effect of the convergence of International Financial Reporting Standards (IFRS) on tax avoidance on companies listed in Indonesia Stock Exchange. Tax avoidance that used in this research was Cash Efective Tax Rate (CETR). This research is also use the control variable to get other different influence that different such as CSR, size, and earning management (EM. This research used populations sector of transport service companies that listed in Indonesia Stock Exchange. The data of this research taken from secondary data that was from the Indonesia Stock Exchange in the form of Indonesian Capital Market Directory (ICMD) and the annual report of the company 2011-2015. The method of collecting sample was purposive sampling technique, the population that to be sampling in this research was populations that has the criteria of a particular sample. Companies that has the criteria of the research sample as many as 78 companies. The method of analysis used in this research is multiple regression analysis. Based on regression testing shows that the convergence of International Financial Reporting Standards (IFRS) has a positiveand significant impact on tax evasion. This shows that IFRS convergence actually improves tax evasion practices. The control variables of firm size and earnings management also significantly influence the application of IFRS in improving tax avoidance practices, while CSR control variables have no role in convergence IFRS in improving tax evasion practice.


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