IDEAS home Printed from https://ideas.repec.org/p/ris/kngedp/2004_002.html

Daily interbank rate determination and volatility in a banking crisis

Author

Listed:
  • Jose R. Sanchez-Fung

    (NUBS University of Nottingham)

Abstract

The paper studies daily interbank rate determination and volatility in the Dominican Republic during a major banking crisis. The investigation uses a novel, automatic, general-to-specific technology (PcGets) to reduce a baseline (mean) specification linking interbank rates and aggregate banking system excess reserves. This specification is subsequently embedded in a GARCH model. Recursive coefficient analysis reveals that in times of financial stability positive or negative shocks have similar effects. In contrast, during banking crisis negative impacts (e.g. a decrease in excess reserves) generate larger volatility of interbank rates than positive ones.

Suggested Citation

  • Jose R. Sanchez-Fung, 2004. "Daily interbank rate determination and volatility in a banking crisis," Economics Discussion Papers 2004-2, School of Economics, Kingston University London.
  • Handle: RePEc:ris:kngedp:2004_002
    as

    Download full text from publisher

    File URL: http://eprints.kingston.ac.uk/6653/1/Sanchez-Fung-J-6653.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krolzig, Hans-Martin & Hendry, David F., 2001. "Computer automation of general-to-specific model selection procedures," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 831-866, June.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    4. Prati, Alessandro & Bartolini, Leonardo & Bertola, Giuseppe, 2003. "The overnight interbank market: Evidence from the G-7 and the Euro zone," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 2045-2083, October.
    5. 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.
    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. Sánchez-Fung, José R., 2008. "The day-to-day interbank market, volatility, and central bank intervention in a developing economy," MPRA Paper 15648, University Library of Munich, Germany.
    2. Kapetanios, George & Marcellino, Massimiliano & Papailias, Fotis, 2016. "Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 369-382.
    3. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    4. Jennifer Castle & David Hendry, 2007. "Forecasting UK Inflation: the Roles of Structural Breaks and Time Disaggregation," Economics Series Working Papers 309, University of Oxford, Department of Economics.
    5. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 104, Economics Division, School of Social Sciences, University of Southampton.
    6. Bauwens, Luc & Sucarrat, Genaro, 2010. "General-to-specific modelling of exchange rate volatility: A forecast evaluation," International Journal of Forecasting, Elsevier, vol. 26(4), pages 885-907, October.
    7. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 0104, Economics Division, School of Social Sciences, University of Southampton.
    8. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, Juin.
    9. Hans-Martin Krolzig, 2001. "General--to--Specific Reductions of Vector Autoregressive Processes," Computing in Economics and Finance 2001 164, Society for Computational Economics.
    10. David F. Hendry & Søren Johansen & Carlos Santos, 2007. "Selecting a Regression Saturated by Indicators," Discussion Papers 07-26, University of Copenhagen. Department of Economics.
    11. David F. Hendry & Hans-Martin Krolzig, 2005. "The Properties of Automatic "GETS" Modelling," Economic Journal, Royal Economic Society, vol. 115(502), pages 32-61, March.
    12. Kapetanios, George, 2007. "Variable selection in regression models using nonstandard optimisation of information criteria," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 4-15, September.
    13. David F. Hendry, 2001. "Modelling UK inflation, 1875-1991," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 255-275.
    14. Jose R. Sanchez-Fung, 2004. "Modelling money demand in the Dominican Republic," Economics Discussion Papers 2004-1, School of Economics, Kingston University London.
    15. Todd E. Clark, 2004. "Can out-of-sample forecast comparisons help prevent overfitting?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 115-139.
    16. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    17. repec:oxf:wpaper:2000-w34.2 is not listed on IDEAS
    18. David F. Hendry & Hans-Martin Krolzig, 2003. "Sub-sample Model Selection Procedures in Gets Modelling," Economics Papers 2003-W17, Economics Group, Nuffield College, University of Oxford.
    19. Silvio Colarossi & Andrea Zaghini, 2009. "Gradualism, Transparency and the Improved Operational Framework: A Look at Overnight Volatility Transmission," International Finance, Wiley Blackwell, vol. 12(2), pages 151-170, August.
    20. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    21. Cáceres, Neila & Malone, Samuel W., 2015. "Optimal Weather Conditions, Economic Growth, and Political Transitions," World Development, Elsevier, vol. 66(C), pages 16-30.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:ris:kngedp:2004_002. 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: Andrea Ingianni (email available below). General contact details of provider: https://edirc.repec.org/data/sekinuk.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.