University of Wollongong
Browse

Effect of non-IFRS earnings reporting guidelines on underlying earnings reporting quality: The case of Australian listed firms

Download (525.89 kB)
journal contribution
posted on 2024-11-14, 14:08 authored by Yiru Yang, Indra Abeysekera
This study investigates Australian Securities Exchange (ASX) 200 firms in the post-Australian Securities and Investments Commission (ASIC) period (2011-2014) to examine how listed firms follow the non-International Financial Reporting Standards (IFRS) earnings reporting guidelines issued by ASIC to communicate underlying earnings reporting quality. We find that firms that do not comply with the ASIC guidelines have lower underlying earnings reporting quality than do firms that comply with these guidelines. Firms that do not follow the ASIC guidelines are found to exclude income-increasing underlying earnings adjustments to make underlying earnings appear more profitable than IFRS earnings when they miss earnings targets or make current losses, and that they report underlying earnings opportunistically by excluding recurring expenses that persist into future operating earnings. Unlike ASIC non-compliance firms, ASIC compliance firms attempt to act as responsible reporters by reporting underlying earnings in a responsible manner to demonstrate a judicious use of discretion in informing shareholders. Further, we find that underlying earnings reported by non-compliance firms are less value-relevant than underlying earnings reported by compliance firms.

History

Citation

Yang, Y. & Abeysekera, I. (2018). Effect of non-IFRS earnings reporting guidelines on underlying earnings reporting quality: The case of Australian listed firms. Journal of International Financial Management and Accounting, 29 (3), 312-338.

Journal title

Journal of International Financial Management and Accounting

Volume

29

Issue

3

Pagination

312-338

Language

English

RIS ID

127829

Usage metrics

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC