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Forecasting the intraday market price of money

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  • Monticini, Andrea
  • Ravazzolo, Francesco

Abstract

Central banks' operations and efficiency arguments would suggest that the intraday interest rate should be set to zero. However, a liquidity crisis introduces frictions related to news, which can cause an upward jump of the intraday rate. This paper documents that these dynamics can be partially predicted during turbulent times. Long memory approaches alone or in combination to account for model uncertainty outperform random walk, autoregressive and moving average benchmarks in terms of point and density forecasting. The relative accuracy is higher when the full distribution is predicted. We also document that such statistical accuracy can provide economic gains in investment strategies based on lending in the intraday market.

Suggested Citation

  • Monticini, Andrea & Ravazzolo, Francesco, 2014. "Forecasting the intraday market price of money," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 304-315.
    • Handle: RePEc:eee:empfin:v:29:y:2014:i:c:p:304-315
    DOI: 10.1016/j.jempfin.2014.08.006
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    as
    1. Martin, Antoine & McAndrews, James, 2008. "Liquidity-saving mechanisms," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 554-567, April.
    2. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
    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. Alain Durré & Stefano Nardelli, 2008. "Volatility in the Euro area money market: effects from the monetary policy operational framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 307-322.
    5. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    6. Angelini, Paolo, 1998. "An analysis of competitive externalities in gross settlement systems," Journal of Banking & Finance, Elsevier, vol. 22(1), pages 1-18, January.
    7. Heider, F. & Hoerova, M. & Holthausen, C., 2009. "Liquidity Hoarding and Interbank Market Spreads : The Role of Counterparty Risk," Discussion Paper 2009-40 S, Tilburg University, Center for Economic Research.
    8. John C. Williams & John B. Taylor, 2009. "A Black Swan in the Money Market," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 58-83, January.
    9. Berkowitz, Jeremy, 2001. "Testing Density Forecasts, with Applications to Risk Management," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 465-474, October.
    10. Celso Brunetti & Mario di Filippo & Jeffrey H. Harris, 2011. "Effects of Central Bank Intervention on the Interbank Market During the Subprime Crisis," Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 2053-2083.
    11. Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2010. "Combining forecast densities from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 621-634.
    12. Angelo Baglioni & Andrea Monticini, 2013. "Why Does the Interest Rate Decline Over the Day? Evidence from the Liquidity Crisis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(2), pages 175-186, October.
    13. 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.
    14. repec:eee:jbfina:v:83:y:2017:i:c:p:135-152 is not listed on IDEAS
    15. Geweke, John & Amisano, Gianni, 2010. "Comparing and evaluating Bayesian predictive distributions of asset returns," International Journal of Forecasting, Elsevier, vol. 26(2), pages 216-230, April.
    16. James D. Hamilton, 2009. "Daily Changes in Fed Funds Futures Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 567-582, June.
    17. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    18. Caporin, Massimiliano & Preś, Juliusz, 2012. "Modelling and forecasting wind speed intensity for weather risk management," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3459-3476.
    19. Leeb, Hannes & P tscher, Benedikt M., 2005. "Model Selection And Inference: Facts And Fiction," Econometric Theory, Cambridge University Press, vol. 21(01), pages 21-59, February.
    20. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    21. Antoine Martin & James J. McAndrews, 2008. "An economic analysis of liquidity-saving mechanisms," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 25-39.
    22. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November.
    23. 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.
    24. Martin, Antoine & McAndrews, James, 2010. "A study of competing designs for a liquidity-saving mechanism," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1818-1826, August.
    25. Christian Kascha & Francesco Ravazzolo, 2010. "Combining inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 231-250.
    26. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    27. Ángel León & Francis Benito & Juan Nave, 2006. "Modeling The Euro Overnight Rate," Working Papers. Serie AD 2006-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    28. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
    29. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
    30. Linzert, Tobias & Abbassi, Puriya, 2011. "The effectiveness of monetary policy in steering money market rates during the recent financial crisis," Working Paper Series 1328, European Central Bank.
    31. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, Elsevier.
    32. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    33. Angelini, Paolo, 2000. "Erratum [Are Banks Risk Averse? Intraday Timing of Operations in the Interbank Market]," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 442-442, August.
    34. David Byers & James Davidson & David Peel, 1997. "Modelling Political Popularity: an Analysis of Long-range Dependence in Opinion Poll Series," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 471-490.
    35. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    36. Capistrán, Carlos & Timmermann, Allan, 2009. "Forecast Combination With Entry and Exit of Experts," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
    37. McAndrews, James & Sarkar, Asani & Wang, Zhenyu, 2017. "The effect of the term auction facility on the London interbank offered rate," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 135-152.
    38. Van Hoose, David D., 1991. "Bank behavior, interest rate determination, and monetary policy in a financial system with an intraday federal funds market," Journal of Banking & Finance, Elsevier, vol. 15(2), pages 343-365, April.
    39. Mills Jr., David C. & Nesmith, Travis D., 2008. "Risk and concentration in payment and securities settlement systems," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 542-553, April.
    40. James Mitchell & Stephen G. Hall, 2005. "Evaluating, Comparing and Combining Density Forecasts Using the KLIC with an Application to the Bank of England and NIESR 'Fan' Charts of Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 995-1033, December.
    41. Bhattacharya, Joydeep & Haslag, Joseph H. & Martin, Antoine, 2009. "Why does overnight liquidity cost more than intraday liquidity?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1236-1246, June.
    42. Donald Robertson & Stephen Wright, 2012. "The Predictive Space, or, If x predicts y, what does y tell us about x?," Birkbeck Working Papers in Economics and Finance 1210, Birkbeck, Department of Economics, Mathematics & Statistics.
    43. Olivier Blanchard, 2009. "The Crisis: Basic Mechanisms and Appropriate Policies," CESifo Forum, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(1), pages 3-14, April.
    44. Ravazzolo Francesco & Vahey Shaun P., 2014. "Forecast densities for economic aggregates from disaggregate ensembles," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 1-15, September.
    45. Michiel De Pooter & Francesco Ravazzolo & Dick Van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," International Finance Discussion Papers 993, Board of Governors of the Federal Reserve System (U.S.).
    46. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    47. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    48. Brousseau, Vincent & Manzanares, Andrés, 2005. "A look at intraday frictions in the euro area overnight deposit market," Working Paper Series 439, European Central Bank.
    49. Michael J. Fleming & Warren B. Hrung & Frank M. Keane, 2010. "Repo Market Effects of the Term Securities Lending Facility," American Economic Review, American Economic Association, vol. 100(2), pages 591-596, May.
    50. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    51. Selva Demiralp & Òscar Jordà, 2002. "The announcement effect: evidence from open market desk data," Economic Policy Review, Federal Reserve Bank of New York, issue May, pages 29-48.
    52. Baglioni, Angelo & Monticini, Andrea, 2010. "The intraday interest rate under a liquidity crisis: The case of August 2007," Economics Letters, Elsevier, vol. 107(2), pages 198-200, May.
    53. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    54. Angelo Baglioni & Andrea Monticini, 2008. "The Intraday Price of Money: Evidence from the e-MID Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1533-1540, October.
    55. Pesaran, M Hashem & Timmermann, Allan, 1995. " Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-1228, September.
    56. Martin, Antoine, 2004. "Optimal pricing of intraday liquidity," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 401-424, March.
    57. Jurgilas, Marius & Zikes, Filip, 2012. "Implicit intraday interest rate in the UK unsecured overnight money market," Bank of England working papers 447, Bank of England.
    58. Furfine, Craig H, 2001. "Banks as Monitors of Other Banks: Evidence from the Overnight Federal Funds Market," The Journal of Business, University of Chicago Press, vol. 74(1), pages 33-57, January.
    59. Ruilin Zhou, 2000. "Understanding intraday credit in large-value payment systems," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 29-44.
    60. Enghin Atalay & Antoine Martin & James J. McAndrews, 2008. "The welfare effects of a liquidity-saving mechanism," Staff Reports 331, Federal Reserve Bank of New York.
    61. Huurman, Christian & Ravazzolo, Francesco & Zhou, Chen, 2012. "The power of weather," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3793-3807.
    62. Pesaran, M. Hashem & Timmermann, Allan, 2007. "Selection of estimation window in the presence of breaks," Journal of Econometrics, Elsevier, vol. 137(1), pages 134-161, March.
    63. Dr. James Mitchell, 2005. "Evaluating, comparing and combining density forecasts using the KLIC with an application to the Bank of England and NIESR ÔfanÕ charts of inflation," National Institute of Economic and Social Research (NIESR) Discussion Papers 253, National Institute of Economic and Social Research.
    64. Suresh Sundaresan & Zhenyu Wang, 2009. "Y2K Options and the Liquidity Premium in Treasury Markets," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1021-1056, March.
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    More about this item

    Keywords

    Interbank market; Intraday interest rate; Forecasting; Density forecasting; Linear opinion pooling;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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