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The Low-Frequency Impact of Daily Monetary Policy Shock

  • Neville Francis

    (University of North Carolina, Chapel Hill)

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    With rare exception, studies of monetary policy tend to neglect the timing of innovations to monetary policy instruments. Models which take timing seriously are often difficult to compare to standard monetary VARs because each uses different frequencies. We propose using MIDAS regressions that nests both ideas: Accurate (daily) timing of innovations to policy are embedded in a monthly-frequency VAR to determine the macroeconomic effects of high-frequency policy shocks. We find that policy have greatest effects on variables thought of as heavily expectations oriented and that, contrary to some VAR studies, the effects of policy shocks on real variables are small.

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    File URL: https://www.economicdynamics.org/meetpapers/2012/paper_198.pdf
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    Paper provided by Society for Economic Dynamics in its series 2012 Meeting Papers with number 198.

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    Date of creation: 2012
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    Handle: RePEc:red:sed012:198
    Contact details of provider: Postal: Society for Economic Dynamics Christian Zimmermann Economic Research Federal Reserve Bank of St. Louis PO Box 442 St. Louis MO 63166-0442 USA
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    1. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
    2. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "MIDAS versus mixed-frequency VAR: nowcasting GDP in the euro area," Discussion Paper Series 1: Economic Studies 2009,07, Deutsche Bundesbank, Research Centre.
    3. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    4. Jon Faust & Eric Swanson & and Jonathan H. Wright, 2002. "Identifying vars based on high frequency futures data," International Finance Discussion Papers 720, Board of Governors of the Federal Reserve System (U.S.).
    5. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    6. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    7. Kenneth N. Kuttner, 2000. "Monetary policy surprises and interest rates: evidence from the Fed funds futures markets," Staff Reports 99, Federal Reserve Bank of New York.
    8. Alper, C. Emre & Fendoglu, Salih & Saltoglu, Burak, 2008. "Forecasting Stock Market Volatilities Using MIDAS Regressions: An Application to the Emerging Markets," MPRA Paper 7460, University Library of Munich, Germany.
    9. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
    10. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    11. Stefan Mittnik & Peter A. Zadrozny, 2004. "Forecasting Quarterly German GDP at Monthly Intervals Using Monthly IFO Business Conditions Data," CESifo Working Paper Series 1203, CESifo Group Munich.
    12. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2002. "Market-based measures of monetary policy expectations," Finance and Economics Discussion Series 2002-40, Board of Governors of the Federal Reserve System (U.S.).
    13. Froyen, Richard T. & Waud, Roger N., 2002. "The determinants of Federal Reserve policy actions: A re-examination," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 413-428, September.
    14. Kareken, John H & Muench, Thomas & Wallace, Neil, 1973. "Optimal Open Market Strategy: The Use of Information Variables," American Economic Review, American Economic Association, vol. 63(1), pages 156-72, March.
    15. Glenn D. Rudebusch, 1996. "Do measures of monetary policy in a VAR make sense?," Working Papers in Applied Economic Theory 96-05, Federal Reserve Bank of San Francisco.
    16. S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-time measurement of business conditions," International Finance Discussion Papers 901, Board of Governors of the Federal Reserve System (U.S.).
    17. Leon, Angel & Nave, Juan M. & Rubio, Gonzalo, 2007. "The relationship between risk and expected return in Europe," Journal of Banking & Finance, Elsevier, vol. 31(2), pages 495-512, February.
    18. Emanuel Moench & Serena Ng & Simon Potter, 2009. "Dynamic hierarchical factor models," Staff Reports 412, Federal Reserve Bank of New York.
    19. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    20. Catherine Doz & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Post-Print peer-00844811, HAL.
    21. Peter A. Zadrozny, 1990. "Forecasting U.S. GNP at monthly intervals with an estimated bivariate time series model," Economic Review, Federal Reserve Bank of Atlanta, issue Nov, pages 2-15.
    22. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-48, November.
    23. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    24. Hanson, Michael S., 2004. "The "price puzzle" reconsidered," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1385-1413, October.
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