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The Money Market Daily Session :an UHF-GARCH Model Applied to the Portuguese Case Before and After the Introduction Of the Minimum Reserve System of the Single Monetary Policy

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  • Fatima Sol Murta

Abstract

The study of the determination of the overnight interest rate in the interbank market, and the behaviour of its volatility, gained new insights with contributions from the microstructure theory. The aim of this article is to study the effect of the trade intensity over the volatility of the overnight interest rate, using intra-daily data related to the Portuguese Money Market (MMI). The analysis is focused in two different periods of time, before and after the introduction of the minimum reserve rules of the Single Monetary Policy. We find that these rules have contributed to interest rate stability.

Suggested Citation

  • Fatima Sol Murta, 2007. "The Money Market Daily Session :an UHF-GARCH Model Applied to the Portuguese Case Before and After the Introduction Of the Minimum Reserve System of the Single Monetary Policy," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 50(3), pages 285-314.
  • Handle: RePEc:bxr:bxrceb:2013/80335
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    1. Spierdijk, Laura, 2004. "An empirical analysis of the role of the trading intensity in information dissemination on the NYSE," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 163-184, March.
    2. Slezak, Steve L, 1994. "A Theory of the Dynamics of Security Returns around Market Closures," Journal of Finance, American Finance Association, vol. 49(4), pages 1163-1211, September.
    3. Angelini, Paolo, 2000. "Are Banks Risk Averse? Intraday Timing of Operations in the Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 54-73, February.
    4. Andreas M. Fischer, 2000. "Do Interventions Smooth Interest Rates?," Working Papers 00.04, Swiss National Bank, Study Center Gerzensee.
    5. Griffiths, Mark D. & Winters, Drew B., 1995. "Day-of-the-week effects in federal funds rates: Further empirical findings," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1265-1284, October.
    6. Spindt, Paul A. & Hoffmeister, J. Ronald, 1988. "The Micromechanics of the Federal Funds Market: Implications for Day-of-the-Week Effects in Funds Rate Variability," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(4), pages 401-416, December.
    7. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    8. Manganelli, Simone, 2005. "Duration, volume and volatility impact of trades," Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
    9. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    10. Grammig, Joachim & Wellner, Marc, 2002. "Modeling the interdependence of volatility and inter-transaction duration processes," Journal of Econometrics, Elsevier, vol. 106(2), pages 369-400, February.
    11. Lee, Jim, 2002. "Federal funds rate target changes and interest rate volatility," Journal of Economics and Business, Elsevier, vol. 54(2), pages 159-191.
    12. Hartmann, Philipp & Manna, Michele & Manzanares, Andres, 2001. "The microstructure of the euro money market," Journal of International Money and Finance, Elsevier, vol. 20(6), pages 895-948, November.
    13. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    14. Bauwens, Luc & Giot, Pierre & Grammig, Joachim & Veredas, David, 2004. "A comparison of financial duration models via density forecasts," International Journal of Forecasting, Elsevier, vol. 20(4), pages 589-609.
    15. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-883, November.
    16. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    17. Ghysels Eric & Jasiak Joanna, 1998. "GARCH for Irregularly Spaced Financial Data: The ACD-GARCH Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(4), pages 1-19, January.
    18. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
    19. Ulrich Bindseil & Benedict Weller & Flemming Wuertz, 2003. "Central Bank and Commercial Banks' Liquidity Management - What is the Relationship?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 32(1), pages 37-66, February.
    20. Amihud, Yakov & Mendelson, Haim, 1991. "Volatility, Efficiency, and Trading: Evidence from the Japanese Stock Market," Journal of Finance, American Finance Association, vol. 46(5), pages 1765-1789, December.
    21. Joachim Grammig & Kai-Oliver Maurer, 2000. "Non-monotonic hazard functions and the autoregressive conditional duration model," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 16-38.
    22. Furfine, Craig H., 2000. "Interbank payments and the daily federal funds rate," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 535-553, October.
    23. Cyree, Ken B & Winters, Drew B, 2001. "Analysis of Federal Funds Rate Changes and Variance Patterns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(3), pages 403-418, Fall.
    24. GIOT, Pierre, 1999. "Time transformations, intraday data and volatility models," LIDAM Discussion Papers CORE 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    26. Leonardo Bartolini & Alessandro Prati, 2003. "The execution of monetary policy: a tale of two central banks [‘Estimating continuous-time stochastic volatility models of the short-term interest rate’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(37), pages 435-467.
    27. Gerety, Mason S & Mulherin, J Harold, 1994. "Price Formation on Stock Exchanges: The Evolution of Trading within the Day," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 609-629.
    28. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    29. Lee, Young-Sook, 2003. "The Federal funds market and the overnight Eurodollar market," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 749-771, April.
    30. Gaspar, Vitor & Perez-Quiros, Gabriel & Sicilia, Jorge, 2001. "The ECB Monetary Policy Strategy and the Money Market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 325-342, October.
    31. Bartolini, Leonardo & Bertola, Giuseppe & Prati, Alessandro, 2002. "Day-to-Day Monetary Policy and the Volatility of the Federal Funds Interest Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 137-159, February.
    32. Yen-Sheng Huang & Dih-Young Liu & Tze-Wei Fu, 2000. "Stock Price Behavior over Trading and Non-trading Periods: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5&6), pages 575-602.
    33. Taylor, Stephen J. & Xu, Xinzhong, 1997. "The incremental volatility information in one million foreign exchange quotations," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 317-340, December.
    34. 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.
    35. Gerety, Mason S & Mulherin, J Harold, 1992. "Trading Halts and Market Activity: An Analysis of Volume at the Open and the Close," Journal of Finance, American Finance Association, vol. 47(5), pages 1765-1784, December.
    36. Leonardo Bartolini & Svenja Gudell & R. Spence Hilton & Krista B. Schwarz, 2005. "Intraday trading in the overnight federal funds market," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 11(Nov).
    37. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    38. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    39. Rombouts, Jeroen V. K. & Bauwens, Luc, 2004. "Econometrics," Papers 2004,33, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
      • BAUWENS, Luc & ROMBOUTS, Jeroen V.K., 2004. "Econometrics," LIDAM Reprints CORE 1713, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    40. Yen‐Sheng Huang & Dih‐Young Liu & Tze‐Wei Fu, 2000. "Stock Price Behavior over Trading and Non‐trading Periods: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5‐6), pages 575-602, June.
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    More about this item

    Keywords

    Money market; Market Microstructure; Interest rate volatility; ACD models; UHF-GARCH models;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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