IDEAS home Printed from https://ideas.repec.org/p/zbw/bofitp/296486.html
   My bibliography  Save this paper

Forgery, market liquidity, and demat trading: Evidence from the national stock exchange in India

Author

Listed:
  • Aney, Madhav S.
  • Banerji, Sanjay

Abstract

We analyse the impact of the introduction of a new technology on the National Stock Exchange in India that allowed trading of stocks without the need to transfer paper share certificates (demat trading). We document a decrease in the bid-ask spread and an increase in trading volume following its introduction particularly for those stocks that were previously illiquid. We present evidence that suggests that the primary channel for the increase in liquidity was the elimination of the risk of being sold forged securities as the clearing system took on the risk of reimbursing buyers of forged shares at the introduction of demat trading.

Suggested Citation

  • Aney, Madhav S. & Banerji, Sanjay, 2024. "Forgery, market liquidity, and demat trading: Evidence from the national stock exchange in India," BOFIT Discussion Papers 7/2024, Bank of Finland Institute for Emerging Economies (BOFIT).
  • Handle: RePEc:zbw:bofitp:296486
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/296486/1/1890368970.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(3), pages 287-310, September.
    2. Gajewski, Jean-Francois & Gresse, Carole, 2007. "Centralised order books versus hybrid order books: A paired comparison of trading costs on NSC (Euronext Paris) and SETS (London Stock Exchange)," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2906-2924, September.
    3. Gopalan, Radhakrishnan & Nanda, Vikram & Seru, Amit, 2007. "Affiliated firms and financial support: Evidence from Indian business groups," Journal of Financial Economics, Elsevier, vol. 86(3), pages 759-795, December.
    4. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    5. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    6. Naaraayanan, S. Lakshmi & Nielsen, Kasper Meisner, 2021. "Does personal liability deter individuals from serving as independent directors?," Journal of Financial Economics, Elsevier, vol. 140(2), pages 621-643.
    7. Hasbrouck, Joel, 2007. "Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading," OUP Catalogue, Oxford University Press, number 9780195301649, Decembrie.
    8. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    9. Barclay, Michael J., 1997. "Bid-ask spreads and the avoidance of odd-eighth quotes on Nasdaq: An examination of exchange listings," Journal of Financial Economics, Elsevier, vol. 45(1), pages 35-60, July.
    10. repec:dau:papers:123456789/295 is not listed on IDEAS
    11. Jordan Siegel & Prithwiraj Choudhury, 2012. "A Reexamination of Tunneling and Business Groups: New Data and New Methods," The Review of Financial Studies, Society for Financial Studies, vol. 25(6), pages 1763-1798.
    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. Fishe, Raymond P. H. & Robe, Michel A., 2004. "The impact of illegal insider trading in dealer and specialist markets: evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 71(3), pages 461-488, March.
    2. Craig W. Holden & Stacey Jacobsen & Avanidhar Subrahmanyam, 2014. "The Empirical Analysis of Liquidity," Foundations and Trends(R) in Finance, now publishers, vol. 8(4), pages 263-365, December.
    3. Benston, George J. & Wood, Robert A., 2008. "Why effective spreads on NASDAQ were higher than on the New York stock exchange in the 1990s," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 17-40, January.
    4. Shai Levi & Xiao-Jun Zhang, 2015. "Do Temporary Increases in Information Asymmetry Affect the Cost of Equity?," Management Science, INFORMS, vol. 61(2), pages 354-371, February.
    5. Ripamonti, Alexandre, 2020. "Financial institutions, asymmetric information and capital structure adjustments," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 75-83.
    6. Boulatov, Alex & Hatch, Brian C. & Johnson, Shane A. & Lei, Adam Y.C., 2009. "Dealer attention, the speed of quote adjustment to information, and net dealer revenue," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1531-1542, August.
    7. Gianluca Marcato & Charles Ward, 2006. "Back from Beyond the Bid-Ask Spread: Perspectives on Liquidity," Real Estate & Planning Working Papers rep-wp2006-15, Henley Business School, University of Reading.
    8. Alexandre Ripamonti, 2019. "Capital Structure Adjustments and Asymmetric Information," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(12), pages 1-1, December.
    9. Ning Liu & Wei Xu, 2017. "Stock liquidity on China NEEQ exchange," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 255-275, August.
    10. repec:uts:finphd:34 is not listed on IDEAS
    11. Chung, Kee H. & Cho, Seong-Yeon, 2005. "Security analysis and market making," Journal of Financial Intermediation, Elsevier, vol. 14(1), pages 114-141, January.
    12. Borisova, Ginka & Yadav, Pradeep K., 2015. "Government ownership, informed trading, and private information," Journal of Corporate Finance, Elsevier, vol. 33(C), pages 196-211.
    13. Lin, Ji-Chai & Sanger, Gary C. & Geoffrey Booth, G., 1998. "External information costs and the adverse selection problem: A comparison of NASDAQ and NYSE stocks," International Review of Financial Analysis, Elsevier, vol. 7(2), pages 113-136.
    14. Bennett, Paul & Wei, Li, 2006. "Market structure, fragmentation, and market quality," Journal of Financial Markets, Elsevier, vol. 9(1), pages 49-78, February.
    15. Duong Nguyen & Tribhuvan Puri, 2014. "Information asymmetry and accounting restatement: NYSE-AMEX and NASDAQ evidence," Review of Quantitative Finance and Accounting, Springer, vol. 43(2), pages 211-244, August.
    16. Levin, Eric J. & Wright, Robert E., 2004. "Estimating the profit markup component of the bid-ask spread: evidence from the London Stock Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 1-19, February.
    17. Nimalendran, M. & Petrella, Giovanni, 2003. "Do 'thinly-traded' stocks benefit from specialist intervention?," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1823-1854, September.
    18. Alvaro Escribano & Roberto Pascual, 2008. "Asymmetries in bid and ask responses to innovations in the trading process," Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 49-82, Springer.
    19. Chung, Kee H. & Van Ness, Bonnie F. & Van Ness, Robert A., 1999. "Limit orders and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 53(2), pages 255-287, August.
    20. Boehmer, Ekkehart, 2005. "Dimensions of execution quality: Recent evidence for US equity markets," Journal of Financial Economics, Elsevier, vol. 78(3), pages 553-582, December.
    21. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.

    More about this item

    Keywords

    Liquidity trading; Bid-ask Spead; Frauds; Market manipulations;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:bofitp:296486. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bofitfi.html .

    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.