IDEAS home Printed from https://ideas.repec.org/p/bat/basiq1/2023036.html

XBRL Standards - Mean of Improving Capital Market Information Process

Author

Listed:
  • Lacramioara Mansour

    (Bucharest University of Economic Studies)

  • Elena Cerasela Spatariu

    (Bucharest University of Economic Studies)

  • Cristina Elena Georgescu

    (Bucharest University of Economic Studies)

Abstract

No abstract is available for this item.

Suggested Citation

  • Lacramioara Mansour & Elena Cerasela Spatariu & Cristina Elena Georgescu, "undated". "XBRL Standards - Mean of Improving Capital Market Information Process," BASIQ Conference Proceedings 2023:036, Bucharest University of Economic Studies.
    • Handle: RePEc:bat:basiq1:2023:036
    DOI: 10.24818/BASIQ/2023/09/039
    as

    Download full text from publisher

    File URL: https://conference.ase.ro/papers/2023/23039.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.24818/BASIQ/2023/09/039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    2. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    3. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    4. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    5. Elizabeth Blankespoor & Brian P. Miller & Hal D. White, 2014. "Initial evidence on the market impact of the XBRL mandate," Review of Accounting Studies, Springer, vol. 19(4), pages 1468-1503, December.
    6. Troshani, Indrit & Janssen, Marijn & Lymer, Andy & Parker, Lee D., 2018. "Digital transformation of business-to-government reporting: An institutional work perspective," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 17-36.
    7. Syou-Ching Lai & Yuh-Shin Lin & Yi-Hung Lin & Hua-Wei Huang, 2015. "XBRL adoption and cost of debt," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 23(2), pages 199-216, May.
    8. Michael C. Jensen, 2010. "Value Maximization, Stakeholder Theory, and the Corporate Objective Function," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 32-42, January.
    9. Véronique Guilloux & Joanne Locke & Alan Lowe, 2013. "Digital business reporting standards: mapping the battle in France," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 257-277, May.
    10. repec:pri:cepsud:91malkiel is not listed on IDEAS
    11. Elizabeth Blankespoor, 2019. "The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 57(4), pages 919-967, September.
    12. Ball, Ray & Kothari, S. P. & Robin, Ashok, 2000. "The effect of international institutional factors on properties of accounting earnings," Journal of Accounting and Economics, Elsevier, vol. 29(1), pages 1-51, February.
    13. Xing, Xuejing & Anderson, Randy, 2011. "Stock price synchronicity and public firm-specificinformation," Journal of Financial Markets, Elsevier, vol. 14(2), pages 259-276, May.
    14. Syou-Ching Lai & Yuh-Shin Lin & Yi-Hung Lin & Hua-Wei Huang, 2015. "XBRL adoption and cost of debt," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 23(2), pages 199-216, May.
    15. Jeong-Bon Kim & Haina Shi, 2012. "IFRS reporting, firm-specific information flows, and institutional environments: international evidence," Review of Accounting Studies, Springer, vol. 17(3), pages 474-517, September.
    16. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    17. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    18. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    19. Jacqueline L. Birt & Kala Muthusamy & Poonam Bir, 2017. "XBRL and the qualitative characteristics of useful financial information," Accounting Research Journal, Emerald Group Publishing Limited, vol. 30(01), pages 107-126, May.
    20. Bushman, Robert M. & Piotroski, Joseph D., 2006. "Financial reporting incentives for conservative accounting: The influence of legal and political institutions," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 107-148, October.
    21. Dunne, Theresa & Helliar, Christine & Lymer, Andy & Mousa, Rania, 2013. "Stakeholder engagement in internet financial reporting: The diffusion of XBRL in the UK," The British Accounting Review, Elsevier, vol. 45(3), pages 167-182.
    22. Bryan Kelly & Alexander Ljungqvist, 2012. "Testing Asymmetric-Information Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1366-1413.
    23. Efendi, Jap & Park, Jin Dong & Smith, L. Murphy, 2014. "Do XBRL filings enhance informational efficiency? Early evidence from post-earnings announcement drift," Journal of Business Research, Elsevier, vol. 67(6), pages 1099-1105.
    24. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuyun Huang & Yuan George Shan & Joey W Yang, 2021. "Information processing costs and stock price informativeness: Evidence from the XBRL mandate," Australian Journal of Management, Australian School of Business, vol. 46(1), pages 110-131, February.
    2. Pieter Nel & Renee van Eyden, 2026. "From News to Noise: Does Media Sentiment Drive Stock Market Volatility?," Working Papers 202605, University of Pretoria, Department of Economics.
    3. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    4. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    5. Alexander Teytelboym & Shengwu Li & Scott Duke Kominers & Mohammad Akbarpour & Piotr Dworczak, 2021. "Discovering Auctions: Contributions of Paul Milgrom and Robert Wilson," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 709-750, July.
    6. Kamal, Mona, 2014. "Studying the Validity of the Efficient Market Hypothesis (EMH) in the Egyptian Exchange (EGX) after the 25th of January Revolution," MPRA Paper 54708, University Library of Munich, Germany.
    7. Campos Dias de Sousa, Ricardo Emanuel & Howden, David, 2015. "The Efficient Market Conjecture," MPRA Paper 79792, University Library of Munich, Germany.
    8. Szafarz, Ariane, 2012. "Financial crises in efficient markets: How fundamentalists fuel volatility," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 105-111.
    9. Pierluigi Vellucci, 2021. "A critique of financial neoliberalism: a perspective combining multidisciplinary methods and commodity markets," SN Business & Economics, Springer, vol. 1(3), pages 1-11, March.
    10. Parthajit Kayal & Sayanti Mondal, 2020. "Speed of Price Adjustment in Indian Stock Market: A Paradox," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 453-476, December.
    11. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    12. repec:hal:wpaper:hal-02187362 is not listed on IDEAS
    13. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    14. Thomas Delcey & Francesco Sergi, 2022. "The Efficient Market Hypothesis and Rational Expectations. How Did They Meet and Live (Happily?) Ever After," Post-Print hal-02187362, HAL.
    15. repec:hal:cesptp:hal-02187362 is not listed on IDEAS
    16. Christopher R. Stephens & Harald A. Benink & José Luís Gordillo & Juan Pablo Pardo-Guerra, 2021. "A New Measure of Market Inefficiency," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    17. Pasca Lucian, 2015. "A Critical Review of the Main Approaches on Financial Market Dynamics Modelling," Journal of Heterodox Economics, Sciendo, vol. 2(2), pages 151-167, December.
    18. Menkhoff, Lukas, 2010. "The use of technical analysis by fund managers: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2573-2586, November.
    19. Mario Daniele Amore & Mariano Mastrogiorgio, 2022. "Technological Entry, Redeployability, and Firm Value," Journal of Management Studies, Wiley Blackwell, vol. 59(7), pages 1688-1722, November.
    20. Aloosh, Arash & Choi, Hyung-Eun & Ouzan, Samuel, 2023. "The tail wagging the dog: How do meme stocks affect market efficiency?," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 68-78.
    21. Szymon Lis & Robert Slepaczuk & Paweł Sakowski, 2024. "Explaining and Forecasting Abnormal Returns and Volume by Investor Sentiment Indicators," Working Papers 2024-18, Faculty of Economic Sciences, University of Warsaw.
    22. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bat:basiq1:2023:036. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: BASIQ / Bucharest University of Economic Studies (email available below). General contact details of provider: https://conference.ase.ro/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.