IDEAS home Printed from https://ideas.repec.org/a/taf/macfem/v1y2008i1p93-103.html
   My bibliography  Save this article

Modelling the term structure of interest rates in a small emerging market economy

Author

Listed:
  • Jose Sanchez-Fung

Abstract

This paper investigates the term structure of interest rates in a small emerging market economy - the Dominican Republic. The modelling finds a significant dynamic link amongst the day-to-day interbank interest rate and a representative banking system interest rate. But the interbank rate's forecasting power breaks down in the aftermath of the 2003 banking crisis. This episode illustrates how the monetary authorities' credibility with the public and market expectations affect the term structure's reliability.

Suggested Citation

  • Jose Sanchez-Fung, 2008. "Modelling the term structure of interest rates in a small emerging market economy," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 93-103.
    • Handle: RePEc:taf:macfem:v:1:y:2008:i:1:p:93-103
    DOI: 10.1080/17520840701834958
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/17520840701834958
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17520840701834958?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. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    2. Hentschel, Ludger, 1995. "All in the family Nesting symmetric and asymmetric GARCH models," Journal of Financial Economics, Elsevier, vol. 39(1), pages 71-104, September.
    3. Sarno, Lucio & Thornton, Daniel L., 2003. "The dynamic relationship between the federal funds rate and the Treasury bill rate: An empirical investigation," Journal of Banking & Finance, Elsevier, vol. 27(6), pages 1079-1110, June.
    4. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. John Y. Campbell & Robert J. Shiller, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 495-514.
    7. Devereux, Michael B. & Mendoza, Enrique G., 2006. ""Emerging markets and macroeconomic volatility: Lessons from a decade of financial debacles", a symposium for the Journal of International Economics," Journal of International Economics, Elsevier, vol. 69(1), pages 1-5, June.
    8. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    9. Cook, Timothy & Hahn, Thomas, 1989. "The effect of changes in the federal funds rate target on market interest rates in the 1970s," Journal of Monetary Economics, Elsevier, vol. 24(3), pages 331-351, November.
    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. Lange, Ronald H., 2014. "The small open macroeconomy and the yield curve: A state-space representation," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 1-21.
    2. Kakali Kanjilal, 2014. "Rational expectation hypothesis: empirical evidence from government debt market in India," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 9(3), pages 353-370.

    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. Sanchez-Fung, Jose R., 2008. "The day-to-day interbank market, volatility, and central bank intervention in a developing economy," Economics Discussion Papers 2008-2, School of Economics, Kingston University London.
    2. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    3. Bali, Turan G. & Weinbaum, David, 2007. "A conditional extreme value volatility estimator based on high-frequency returns," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 361-397, February.
    4. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    5. Yi-Ting Chen, 2008. "A unified approach to standardized-residuals-based correlation tests for GARCH-type models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 111-133.
    6. Taufiq Choudhry, 2000. "Meltdown of 1987 and meteor showers among Pacific-Basin stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 10(1), pages 71-80.
    7. Jose Sanchez-Fung, 2003. "Non-linear modelling of daily exchange rate returns, volatility, and 'news' in a small developing economy," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 247-250.
    8. Avouyi-Dovi, S. & Jondeau, E., 1999. "Interest Rate Transmission and Volatility Transmission along the Yield Curve," Working papers 57, Banque de France.
    9. Carnero, María Ángeles, 2001. "Outliers and conditional autoregressive heteroscedasticity in time series," DES - Working Papers. Statistics and Econometrics. WS ws010704, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Neenu Chalissery & Suhaib Anagreh & Mohamed Nishad T. & Mosab I. Tabash, 2022. "Mapping the Trend, Application and Forecasting Performance of Asymmetric GARCH Models: A Review Based on Bibliometric Analysis," JRFM, MDPI, vol. 15(9), pages 1-23, September.
    11. Lars Stentoft, 2008. "American Option Pricing Using GARCH Models and the Normal Inverse Gaussian Distribution," Journal of Financial Econometrics, Oxford University Press, vol. 6(4), pages 540-582, Fall.
    12. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 208-230, Spring.
    13. Pandey, Ajay, 2003. "Modeling and Forecasting Volatility in Indian Capital Markets," IIMA Working Papers WP2003-08-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    14. Issler, João Victor, 1999. "Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 347, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    15. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    16. Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat & Wang, Yintian, 2008. "Option valuation with long-run and short-run volatility components," Journal of Financial Economics, Elsevier, vol. 90(3), pages 272-297, December.
    17. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    18. Sun, Yiguo & Stengos, Thanasis, 2006. "Semiparametric efficient adaptive estimation of asymmetric GARCH models," Journal of Econometrics, Elsevier, vol. 133(1), pages 373-386, July.
    19. Chan-Lau, Jorge A. & Ivaschenko, Iryna, 2003. "Asian Flu or Wall Street virus? Tech and non-tech spillovers in the United States and Asia," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 303-322, December.
    20. Bernd Hayo & Ali M. Kutan, 2005. "The impact of news, oil prices, and global market developments on Russian financial markets," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 373-393, April.

    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:taf:macfem:v:1:y:2008:i:1:p:93-103. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REME20 .

    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.