IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/38992.html
   My bibliography  Save this paper

Indian corporate bonds market –an analytical prospective

Author

Listed:
  • Nath, Golaka

Abstract

Bond markets in emerging markets are illiquid as investors and issuers grapple with major microstructure and legal issues. The importance of bond markets as a source of finance has increased during the economic slowdown as companies diversified away from reliance on banks for funding and many governments increased borrowing to fund the economic slowdown in their countries. Indian corporate bonds market is very illiquid vis-à-vis the Government securities market and heavily rely on AAA rated bonds for both issuance and trading. The data dissemination provided in public domain is inadequate to effectively price bonds taking all risks into account. Bank bonds demand hefty premia from investors and they are considered almost risk free with low credit spread. Investors use Credit rating information to price bonds in the market. Indian corporate sector is fast moving to international markets to raise funds through ECB / FCCB route though FCCB funding has dried up due to bad equity market conditions. Issuance market has remained concentrated with few issuers dominating the market. Financial companies like Non-Banking Finance companies dominate the market with issuances. The study did not find any significant relationship of coupon with optionality of the bond but it found that the Rating has significant relationship with coupon. Lower maturity bonds were having comparatively higher coupon than long maturity bonds. This may be possible as the year 2011-12 witnessed unprecedented liquidity scarcity in the Indian market and rolling over a debt was considered costly and investors demanded higher premia to fund short term bonds. While trading, investors demanded a higher premia for taking investment decision on bonds having floating rate. The relation between Rating class and yield was also found to be rational as higher yield were demanded on bonds with lower rating. The probability of default is higher at the shorter end and the same falls at the longer end. The reason may be the uncertainty existing in the short term with respect to liquidity and other macroeconomic factors might be warranting higher probability of default to be factored in yields. The study finds that the market used the past spreads to price the credit spread they would charge on corporate bonds while trading in the market.

Suggested Citation

  • Nath, Golaka, 2012. "Indian corporate bonds market –an analytical prospective," MPRA Paper 38992, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:38992
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/38992/1/MPRA_paper_38992.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    2. Mr. Pipat Luengnaruemitchai & Ms. Li L Ong, 2005. "An Anatomy of Corporate Bond Markets: Growing Pains and Knowledge Gains," IMF Working Papers 2005/152, International Monetary Fund.
    3. Balasubramanian, N. & Black, Bernard S. & Khanna, Vikramaditya, 2010. "The relation between firm-level corporate governance and market value: A case study of India," Emerging Markets Review, Elsevier, vol. 11(4), pages 319-340, December.
    4. Rajan, Raghuram G. & Zingales, Luigi, 2003. "The great reversals: the politics of financial development in the twentieth century," Journal of Financial Economics, Elsevier, vol. 69(1), pages 5-50, July.
    5. International Finance Corporation & World Bank, 2012. "Doing Business 2012 : Doing Business in a More Transparent World," World Bank Publications - Books, The World Bank Group, number 5907, December.
    6. Shah, Ajay & Thomas, Susan & Gorham, Michael, 2008. "Indian Financial Markets," Elsevier Monographs, Elsevier, edition 1, number 9780123742513.
    7. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    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. Kearney, Fearghal & Shang, Han Lin & Sheenan, Lisa, 2019. "Implied volatility surface predictability: The case of commodity markets," Journal of Banking & Finance, Elsevier, vol. 108(C).
    2. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.
    3. Dick Dijk & Siem Jan Koopman & Michel Wel & Jonathan H. Wright, 2014. "Forecasting interest rates with shifting endpoints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 693-712, August.
    4. Gary S. Anderson & Alena Audzeyeva, 2019. "A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression," Finance and Economics Discussion Series 2019-074, Board of Governors of the Federal Reserve System (U.S.).
    5. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
    6. João Frois Caldeira & Rangan Gupta & Muhammad Tahir Suleman & Hudson S. Torrent, 2021. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4312-4329, December.
    7. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    8. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
    9. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    10. Shigenori Shiratsuka, 2021. "Monetary Policy Effectiveness under the Ultra-Low Interest Rate Environment: Evidence from Yield Curve Dynamics in Japan," Keio-IES Discussion Paper Series 2021-012, Institute for Economics Studies, Keio University.
    11. Hong, Zhiwu & Niu, Linlin & Zhang, Chen, 2022. "Affine arbitrage-free yield net models with application to the euro debt crisis," Journal of Econometrics, Elsevier, vol. 230(1), pages 201-220.
    12. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
    13. Thierry Moudiki & Frédéric Planchet & Areski Cousin, 2018. "Multiple Time Series Forecasting Using Quasi-Randomized Functional Link Neural Networks," Risks, MDPI, vol. 6(1), pages 1-20, March.
    14. Mohamed Amine Boutabba & Yves Rannou, 2020. "Investor strategies and Liquidity Premia in the European Green Bond market," Post-Print hal-02544451, HAL.
    15. Lauren Stagnol, 2017. "Introducing global term structure in a risk parity framework," Working Papers hal-04141648, HAL.
    16. Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
    17. Kaya, Huseyin, 2013. "Forecasting the yield curve and the role of macroeconomic information in Turkey," Economic Modelling, Elsevier, vol. 33(C), pages 1-7.
    18. Asia Aman, 2019. "Are CDS Spreads Sensitive to the Term Structure of the Yield Curve? A Sector-Wise Analysis under Various Market Conditions," JRFM, MDPI, vol. 12(4), pages 1-13, September.
    19. Gauthier, Geneviève & Simonato, Jean-Guy, 2012. "Linearized Nelson–Siegel and Svensson models for the estimation of spot interest rates," European Journal of Operational Research, Elsevier, vol. 219(2), pages 442-451.
    20. Richard Startz & Kwok Ping Tsang, 2010. "An Unobserved Components Model of the Yield Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1613-1640, December.

    More about this item

    Keywords

    Indian Corporate bond market; corporate bond; emerging market; bond rating; probability of default; credit spread; spot yield curve; credit risk;
    All these keywords.

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:38992. 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.