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Does Information-Processing Cost Affect Firm-Specific Information Acquisition? Evidence from XBRL Adoption

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  • Dong, Yi
  • Li, Oliver Zhen
  • Lin, Yupeng
  • Ni, Chenkai

Abstract

We examine how information-processing cost affects investors’ acquisition of firm-specific information using a natural experiment resulting from a recent mandate requiring U.S. firms to adopt eXtensible Business Reporting Language (XBRL) when submitting filings to the U.S. Securities and Exchange Commission (SEC). XBRL filings make financial data standardized, tagged, and machine readable. We find that XBRL adoption reduces firms’ stock return synchronicity. The reduction in synchronicity mainly applies to filings under the mandatory program as opposed to the voluntary program. Furthermore, such an effect is more pronounced for opaque and complex firms. Finally, we find that XBRL adoption also reduces price delay.

Suggested Citation

  • Dong, Yi & Li, Oliver Zhen & Lin, Yupeng & Ni, Chenkai, 2016. "Does Information-Processing Cost Affect Firm-Specific Information Acquisition? Evidence from XBRL Adoption," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(2), pages 435-462, April.
    • Handle: RePEc:cup:jfinqa:v:51:y:2016:i:02:p:435-462_00
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    Cited by:

    1. Joachim Gassen & Hollis A. Skaife & David Veenman, 2020. "Illiquidity and the Measurement of Stock Price Synchronicity," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 419-456, March.
    2. Meng Gao & Jiekun Huang & Itay Goldstein, 2020. "Informing the Market: The Effect of Modern Information Technologies on Information Production [Who is afraid of Reg FD? The behavior and performance of sell-side analysts following the SEC’s fair d," Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1367-1411.
    3. Alessio Piccolo & Joel Shapiro, 2022. "Credit Ratings and Market Information," Review of Financial Studies, Society for Financial Studies, vol. 35(10), pages 4425-4473.
    4. Indrit Troshani & Nick Rowbottom, 2021. "Digital Corporate Reporting: Research Developments and Implications," Australian Accounting Review, CPA Australia, vol. 31(3), pages 213-232, September.
    5. Ran Zhao & Lu Zhu, 2020. "The externalities of credit default swaps on stock return synchronicity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 92-125, January.
    6. 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.
    7. Fenghua Wen & Yujie Yuan & Wei-Xing Zhou, 2019. "Cross-shareholding networks and stock price synchronicity: Evidence from China," Papers 1903.01655, arXiv.org.
    8. Pungaliya, Raunaq S. & Wang, Yanbo, 2023. "Machine invasion: Automation in information acquisition and the cross-section of stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
    9. Gary Chen & Bin Wang & Xiaohong Wang, 2021. "Corporate social responsibility and information flow," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2759-2807, June.
    10. Jie Zhou, 2020. "Does one size fit all? Evidence on XBRL adoption and 10‐K filing lag," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3183-3213, September.
    11. Cheema, Arbab K. & Eshraghi, Arman & Wang, Qingwei, 2023. "Macroeconomic news and price synchronicity," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 390-412.
    12. Meng Gao & Jiekun Huang & Itay GoldsteinEditor, 2020. "Informing the Market: The Effect of Modern Information Technologies on Information Production," Review of Finance, European Finance Association, vol. 33(4), pages 1367-1411.
    13. Guo, Chunying & Yang, Baochen & Fan, Ying, 2022. "Does mandatory CSR disclosure improve stock price informativeness? Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
    14. Fenghua Wen & Yujie Yuan & Wei‐Xing Zhou, 2021. "Cross‐shareholding networks and stock price synchronicity: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 914-948, January.
    15. Zhao, Jing & Huang, Jingchang & Dou, Huan, 2023. "Internet searching and investment sensitivity to stock price: Evidence from a quasi-natural experiment," Finance Research Letters, Elsevier, vol. 51(C).
    16. Bai, Xuelian & Fang, Ruirui & Henry, Elaine & Hu, Nan, 2020. "Supply chain hierarchical position and firms’ information quality," Journal of Financial Stability, Elsevier, vol. 51(C).
    17. Ding, Rong & Zhou, Hang & Li, Yifan, 2020. "Social media, financial reporting opacity, and return comovement: Evidence from Seeking Alpha," Journal of Financial Markets, Elsevier, vol. 50(C).
    18. Gong, Xiao-Li & Liu, Jia, 2023. "Institutional investor information network, analyst forecasting and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 65(C).
    19. Liu, Chao & Wang, FeiFei & Xue, Wenjun, 2023. "The annual report tone and return Comovement—Evidence from China's stock market," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. Griffin, Paul A. & Neururer, Thaddeus & Sun, Estelle Y., 2020. "Environmental performance and analyst information processing costs," Journal of Corporate Finance, Elsevier, vol. 61(C).
    21. Songsheng Chen & Jun Guo & Qingqing Liu & Xiaoxiao Tong, 2021. "The impact of XBRL on real earnings management: unexpected consequences of the XBRL implementation in China," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 479-504, February.
    22. Jaskowski, Marcin & Rettl, Daniel A., 2023. "Information acquisition costs and credit spreads," Journal of Banking & Finance, Elsevier, vol. 149(C).

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