IDEAS home Printed from https://ideas.repec.org/a/kap/jmgtgv/v24y2020i2d10.1007_s10997-018-9414-z.html
   My bibliography  Save this article

Do firm specific characteristics and industry classification corroborate voluntary disclosure of financial ratios: an empirical investigation of S&P CNX 500 companies

Author

Listed:
  • M. Sriram

    (SDM Institute for Management Development)

Abstract

The study has examined the extent of voluntary disclosure of financial ratios in India and its association with performance of the company, size and industry classification. The companies selected for the study are CNX 500 companies. 25% of the sample companies (423) did not disclose any financial ratios voluntarily. Multiple correlation and regression were used to explore the relationship between disclosure index and the selected explanatory variables. The results indicate that the extent of voluntary disclosure of ratios is significantly influenced by size, RoI of the companies and industry classification thereby indicating that companies with larger market capitalization and better return on investments relatively disclose more ratios voluntarily. The infrastructure sector disclosed more ratios than companies from other sectors. The disclosure index was very low indicating that the companies were lacking in efforts to disclose more ratios voluntarily to various stakeholders for a better understanding and interpretation of financial statements. The sample companies disclosed 19% of the selected financial ratios in their annual reports. The paper also calls for mandatory reporting of select ratios and standardization of the methods used in calculation of financial ratios. Improved levels of voluntary disclosures will reduce information asymmetry among investors and enhance clarity about long-term business sustenance and strengthens governance norms. The paper also provides directions for future research.

Suggested Citation

  • M. Sriram, 2020. "Do firm specific characteristics and industry classification corroborate voluntary disclosure of financial ratios: an empirical investigation of S&P CNX 500 companies," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(2), pages 431-448, June.
    • Handle: RePEc:kap:jmgtgv:v:24:y:2020:i:2:d:10.1007_s10997-018-9414-z
    DOI: 10.1007/s10997-018-9414-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10997-018-9414-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10997-018-9414-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Azrul Bin Abdullah & Ku Nor Izah Ku Ismail, 2008. "Disclosure of Voluntary Accounting Ratios by Malaysian Listed Companies," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 6(1), pages 1-20, January.
    2. Skinner, Dj, 1994. "Why Firms Voluntarily Disclose Bad-News," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 38-60.
    3. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    4. Mahmud Hossain & Mike Adams, 1995. "Voluntary Financial Disclosure By Australian Listed Companies," Australian Accounting Review, CPA Australia, vol. 5(10), pages 45-55, November.
    5. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    6. Houghton, Ka, 1984. "Accounting Data And The Prediction Of Business Failure - The Setting Of Priors And The Age Of Data," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 361-368.
    7. B. M. Craven & C. L. Marston, 1999. "Financial reporting on the Internet by leading UK companies," European Accounting Review, Taylor & Francis Journals, vol. 8(2), pages 321-333.
    8. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    9. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    10. Gaur, Ajai & Kumar, Mukesh, 2018. "A systematic approach to conducting review studies: An assessment of content analysis in 25years of IB research," Journal of World Business, Elsevier, vol. 53(2), pages 280-289.
    11. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    12. Norhani Aripin & Greg Tower & Grantley Taylor, 2011. "Insights on the diversity of financial ratios communication," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 19(1), pages 68-85, May.
    13. Ajai Gaur & Andrew Delios, 2015. "International Diversification of Emerging Market Firms: The Role of Ownership Structure and Group Affiliation," Management International Review, Springer, vol. 55(2), pages 235-253, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Curto, José Dias & Serrasqueiro, Pedro, 2022. "Averaging financial ratios," Finance Research Letters, Elsevier, vol. 48(C).

    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. Abdullah, Azrul Bin & Ismail, Ku Nor Izah Ku, 2018. "Disclosure of Voluntary Accounting Ratios by Malaysian Listed Companies," SocArXiv rms3v, Center for Open Science.
    2. Shoukat Ali & Ramiz ur Rehman & Wang Yuan & Muhammad Ishfaq Ahmad & Rizwan Ali, 2022. "Does foreign institutional ownership mediate the nexus between board diversity and the risk of financial distress? A case of an emerging economy of China," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 553-581, September.
    3. Bravo-Urquiza, Francisco & Moreno-Ureba, Elena, 2021. "Does compliance with corporate governance codes help to mitigate financial distress?," Research in International Business and Finance, Elsevier, vol. 55(C).
    4. Sepulveda Velasquez, Jorge, 2021. "Bibliometric Review of Research in Financial Health," MPRA Paper 111353, University Library of Munich, Germany.
    5. Yasser Alhenawi & Martha Stilwell, 2017. "Value creation and the probability of success in merger and acquisition transactions," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1041-1085, November.
    6. Manzaneque, Montserrat & Priego, Alba María & Merino, Elena, 2016. "Corporate governance effect on financial distress likelihood: Evidence from Spain," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 111-121.
    7. Chih‐Chun Chen & Chun‐Da Chen & Donald Lien, 2020. "Financial distress prediction model: The effects of corporate governance indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1238-1252, December.
    8. Azrul Bin Abdullah & Ku Nor Izah Ku Ismail, 2008. "Disclosure of Voluntary Accounting Ratios by Malaysian Listed Companies," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 6(1), pages 1-20, January.
    9. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2022. "Does board committee independence affect financial distress likelihood? A comparison of China with the UK," Asia Pacific Journal of Management, Springer, vol. 39(2), pages 723-761, June.
    10. Kerstin Lopatta & Mario Albert Gloger & Reemda Jaeschke, 2017. "Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10‐K Filings," Accounting Perspectives, John Wiley & Sons, vol. 16(4), pages 315-343, December.
    11. Lance Moir & Sudi Sudarsanam, 2007. "Determinants of financial covenants and pricing of debt in private debt contracts: the UK evidence," Accounting and Business Research, Taylor & Francis Journals, vol. 37(2), pages 151-166.
    12. Hsu, Hwa-Hsien & Wu, Chloe Yu-Hsuan, 2014. "Board composition, grey directors and corporate failure in the UK," The British Accounting Review, Elsevier, vol. 46(3), pages 215-227.
    13. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    14. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    15. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    16. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    17. Jie Sun & Jie Li & Hamido Fujita & Wenguo Ai, 2023. "Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1167-1186, August.
    18. Guido Max Mantovani & Gregory Gadzinski, 2022. "How to Rate the Financial Performance of Private Companies? A Tailored Integrated Rating Methodology Applied to North-Eastern Italian Districts," JRFM, MDPI, vol. 15(11), pages 1-18, October.
    19. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    20. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.

    More about this item

    Keywords

    S&P CNX 500; Size; RoI; Financial ratios; Disclosure index; Governance;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:kap:jmgtgv:v:24:y:2020:i:2:d:10.1007_s10997-018-9414-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.