IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/51633.html
   My bibliography  Save this paper

Liquidity Issues in Indian Sovereign Bond Market

Author

Listed:
  • Nath, Golaka

Abstract

Liquidity is one of the most important factors after credit risk that affects the bond yields. The paper uses various measures of liquidity to understand their determinants in Indian sovereign bond market. The Liquidity measured by parameters like Turnover Ratio and Amihud Illiquidity Indicator show that these parameters not only have instantaneous relationship with bond yield but contemporaneous relationship with themselves. Impact Cost is not found to have any explanatory power. Financial crisis had marginal impact on the Indian sovereign bond market. It functioned well during the crisis period without much deterioration in general market liquidity condition as RBI injected large amount of liquidity to the system within a limited time period to ensure stability in the financial markets in India. However, the notion of flight to safety was evident as traders started investing largely in Government bonds shunning credit products as the credit quality in general started to dip. This was duly supported by large issuances of Government bonds. The study also finds that the electronic order matching system for government bonds has been successful in improving liquidity and reducing volatility in the market.

Suggested Citation

  • Nath, Golaka, 2013. "Liquidity Issues in Indian Sovereign Bond Market," MPRA Paper 51633, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:51633
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/51633/1/MPRA_paper_51633.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ben S. Bernanke & Cara S. Lown, 1991. "The Credit Crunch," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 205-248.
    2. Rüffer, Rasmus & Stracca, Livio, 2006. "What is global excess liquidity, and does it matter?," Working Paper Series 696, European Central Bank.
    3. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    4. Jeffery D Amato & Eli M Remolona, 2003. "The credit spread puzzle," BIS Quarterly Review, Bank for International Settlements, December.
    5. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    6. repec:bla:jfinan:v:53:y:1998:i:6:p:2225-2241 is not listed on IDEAS
    7. M S Mohanty, 2002. "Improving liquidity in government bond markets: what can be done?," BIS Papers chapters, in: Bank for International Settlements (ed.), The development of bond markets in emerging economies, volume 11, pages 49-80, Bank for International Settlements.
    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. Endo, Tadashi, 2022. "Endogenous market development for government securities in lower-income economies," Emerging Markets Review, Elsevier, vol. 50(C).
    2. Ajit Dayanandan & Jai Chander & N. R. V. V. M. K. Rajendra Kumar, 2023. "Size and liquidity of government securities in India," Indian Economic Review, Springer, vol. 58(1), pages 71-90, June.
    3. Michael J. Fleming & Seema Saggar & Samita Sareen, 2016. "Trading activity in the Indian government bond market," Staff Reports 785, Federal Reserve Bank of New York.

    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. Gianni De Nicolò & Iryna Ivaschenko, 2009. "Global Liquidity, Risk Premiums and Growth Opportunities," CESifo Working Paper Series 2598, CESifo.
    2. Maalaoui Chun, Olfa & Dionne, Georges & François, Pascal, 2014. "Credit spread changes within switching regimes," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 41-55.
    3. Hevér, Judit, 2017. "A likviditás és a permanens árhatás szerepe a portfólióértékelésben [The role of liquidity policy and permanent price impact in portfolio valuation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 594-611.
    4. Henke, Harald & Lauterbach, Beni, 2005. "Firm-initiated and exchange-initiated transfers to continuous trading: Evidence from the Warsaw Stock Exchange," Journal of Financial Markets, Elsevier, vol. 8(3), pages 309-323, August.
    5. Ikeda, Shin S., 2019. "Illiquidity in the Japan electric power exchange," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 16-39.
    6. Chelley-Steeley, Patricia L. & Lambertides, Neophytos, 2016. "Cost of capital changes, the quality of trading information and market architecture," The British Accounting Review, Elsevier, vol. 48(4), pages 401-414.
    7. Patricia L. Chelley†Steeley, 2015. "The Role of Pre†Existing Liquidity in Determining Pricing Efficiency and Liquidity Gains Following the Introduction of SETSmm," European Financial Management, European Financial Management Association, vol. 21(2), pages 360-376, March.
    8. Emily Lin & Carl R. Chen, 2019. "Settlement procedures and stock market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 164-185, February.
    9. Gann, Philipp, 2009. "Liquidität, Risikoeinstellung des Kapitalmarktes und Konjunkturerwartung als Preisdeterminanten von Collateralized Debt Obligations (CDOs) - Eine simulationsgestützte Analyse," Discussion Papers in Business Administration 10582, University of Munich, Munich School of Management.
    10. Timotheos Angelidis & Alexandros Benos, 2006. "Liquidity adjusted value-at-risk based on the components of the bid-ask spread," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 835-851.
    11. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, December.
    12. Mr. Gianni De Nicolo & Mr. Iryna V. Ivaschenko, 2009. "Global Liquidity, Risk Premiums and Growth Opportunities," IMF Working Papers 2009/052, International Monetary Fund.
    13. Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2017. "Systemic co-jumps," Journal of Financial Economics, Elsevier, vol. 126(3), pages 563-591.
    14. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    15. Daya, Wael & Mazouz, Khelifa & Freeman, Mark, 2012. "Information efficiency changes following FTSE 100 index revisions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 1054-1069.
    16. Chelley-Steeley, Patricia L. & Skvortsov, Leonid, 2010. "Efficiency and the trading system: The case of SETSmm," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 509-518, December.
    17. Kryzanowski, Lawrence & Zhang, Ying, 2013. "Financial restatements by Canadian firms cross-listed and not cross-listed in the U.S," Journal of Multinational Financial Management, Elsevier, vol. 23(1), pages 74-96.
    18. Chatterjee, Ujjal K., 2018. "Bank liquidity creation and recessions," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 64-75.
    19. Chen, Crystal Xiaobei & Rhee, S. Ghon, 2010. "Short sales and speed of price adjustment: Evidence from the Hong Kong stock market," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 471-483, February.
    20. Vasant Dhar & Anindya Ghose, 2010. "Research Commentary ---Sponsored Search and Market Efficiency," Information Systems Research, INFORMS, vol. 21(4), pages 760-772, December.

    More about this item

    Keywords

    liquidity; liquidity premium; bond yield; Indian Sovereign Bonds; Impact Cost; Turnover Ratio; NDS-OM; Liquidity Adjustment Facility;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:pra:mprapa:51633. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.