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Does the XBRL Reporting Format Provide Incremental Information Value? A Study Using XBRL Disclosures During the Voluntary Filing Program

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  • Jap Efendi
  • Jin Dong Park
  • Chandra Subramaniam

Abstract

type="main"> This study investigates whether the eXtensible Business Reporting Language (XBRL) reporting format provides incremental information value beyond the same 10K/10Q filings previously provided in HTML format. Using a sample from the XBRL Voluntary Filing Program, we document a significant increase in stock price variance on the day when voluntary XBRL reports are filed. We find market response is stronger when more content is filed on the same day. To evaluate relative information value, we decompose the quarterly return variance for three primary news announcements related to earnings including earnings announcement, HTML filing, and XBRL filing. We find XBRL filings have larger relative information value than HTML filings. Our results indicate that the XBRL reporting format provides incremental information content.

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  • Jap Efendi & Jin Dong Park & Chandra Subramaniam, 2016. "Does the XBRL Reporting Format Provide Incremental Information Value? A Study Using XBRL Disclosures During the Voluntary Filing Program," Abacus, Accounting Foundation, University of Sydney, vol. 52(2), pages 259-285, June.
    • Handle: RePEc:bla:abacus:v:52:y:2016:i:2:p:259-285
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    2. Xi Chen & Yang Ha (Tony) Cho & Yiwei Dou & Baruch Lev, 2022. "Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 467-515, May.
    3. Abdolmohammadi, Mohammad J. & DeSimone, Steven M. & Hsieh, Tien-Shih & Wang, Zhihong, 2017. "Factors associated with internal audit function involvement with XBRL implementation in public companies: An international study," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 45-56.
    4. Steven F. Cahan & Seokjoo Chang & Wei Z. Siqueira & Kinsun Tam, 2022. "The roles of XBRL and processed XBRL in 10‐K readability," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(1-2), pages 33-68, January.
    5. Wolfgang Ballwieser, 2019. "Überlegungen zu Theorie und Praxis der Finanzberichterstattung: Herausforderungen, Erkenntnisse und Lücken [Reflections on Theory and Practice of Financial Reporting: Challenges, Scientific Finding," Schmalenbach Journal of Business Research, Springer, vol. 71(2), pages 169-211, July.
    6. Stewart Jones & Nurul Alam, 2019. "A machine learning analysis of citation impact among selected Pacific Basin journals," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(4), pages 2509-2552, December.

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