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Monetary-Policy Rule as a Bridge: Predicting Inflation without Predictive Regressions

Published online by Cambridge University Press:  02 October 2018

Jian Hua  and
Liuren Wu
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Abstract

A major issue with predicting inflation rates using predictive regressions is that estimation errors can overwhelm the information content. This article proposes a new approach that uses a monetary-policy rule as a bridge between inflation rates and short-term interest rates and relies on the forward-interest-rate curve to predict future interest-rate movements. The 2-step procedure estimates the predictive relation not through a predictive regression but far more accurately through the contemporaneous monetary-policy linkage. Historical analysis shows that the approach outperforms random walk out of sample by 30%–50% over horizons from 1 to 5 years.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 53 , Issue 6 , December 2018 , pp. 2559 - 2586
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2018 

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Footnotes

1

The authors thank Tobias Adrian, David Backus, Mikhail Chernov, Todd Clark, Jennifer Conrad (the editor), Francis X. Diebold, Taeyoung Doh, Andrew Karolyi, Edith Liu, Eric Sims (the referee), Oleg Sokolinskiy, Byron Tsang, Jonathan Wright, and participants at Baruch College, Queens College, New York University, the 2013 Annual Society for Financial Econometrics (SoFiE) Conference, and the 2014 Triple Crown Conference for comments.

References

Aiolfi, M.; Capistran, C.; and Timmermann, A.. “Forecast Combinations.” In Oxford Handbook of Economic Forecasting, Clements, M. P. and Hendry, D. F., eds. Oxford, UK: Oxford University Press (2010).Google Scholar
Ang, A.; Bekaert, G.; and Wei, M.. “Do Macro Variables, Asset Markets, or Surveys Forecast Inflation Better?” Journal of Monetary Economics, 54 (2007), 1163–1212.Google Scholar
Bai, J., and Wu, L.. “Anchoring Corporate Credit Default Swap Spreads to Firm Fundamentals.” Journal of Financial and Quantitative Analysis, 51 (2016), 1521–1543.Google Scholar
Bali, T.; Heidari, M.; and Wu, L.. “Predictability of Interest Rates and Interest-Rate Portfolios.” Journal of Business and Economic Statistics, 27 (2009), 517–527.Google Scholar
Boivin, J., and Giannoni, M. P.. “Has Monetary Policy Become More Effective?” Review of Economics and Statistics, 88 (2006), 445–462.Google Scholar
Brav, A.; Lehavy, R.; and Michaely, R.. “Using Expectations to Test Asset Pricing Models.” Financial Management, 34 (2005), 31–64.Google Scholar
Campbell, J. Y., and Thompson, S. B.. “Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?” Review of Financial Studies, 21 (2008), 1509–1531.Google Scholar
Campbell, J. Y., and Yogo, M.. “Efficient Tests of Stock Return Predictability.” Journal of Financial Economics, 81 (2006), 27–60.Google Scholar
Carlstrom, C. T., and Fuerst, T. S.. “Forward-Looking versus Backward-Looking Taylor Rules.” Working Paper 0009, Federal Reserve Bank of Cleveland (2000).Google Scholar
Carr, P., and Wu, L.. “A Simple Robust Link between American Puts and Credit Protection.” Review of Financial Studies, 24 (2011), 473–505.Google Scholar
Carr, P., and Wu, L.. “Decomposing Long Bond Returns: A Decentralized Modeling Approach.” Working Paper, New York University and Baruch College (2017).Google Scholar
Cieslak, A., and Povala, P.. “Expected Returns in Treasury Bonds.” Review of Financial Studies, 28 (2015), 2859–2901.Google Scholar
Clarida, R.; Gali, J.; and Gertler, M.. “The Science of Monetary Policy: A New Keynesian Perspective.” Journal of Economic Literature, 37 (1999), 1661–1707.Google Scholar
Clarida, R.; Gali, J.; and Gertler, M.. “Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory.” Quarterly Journal of Economics, 115 (2000), 147–180.Google Scholar
Clark, T. E., and Doh, T.. “A Bayesian Evaluation of Alternative Models of Trend Inflation.” Working Paper, Federal Reserve Bank of Cleveland and Federal Reserve Bank of Kansas City (2011).Google Scholar
Clark, T. E., and McCracken, M. W.. “Advances in Forecast Evaluation.” In Handbook of Economic Forecasting, Vol. 2, Timmermann, A. and Elliott, G., eds. Amsterdam, The Netherlands: Elsevier (2012).Google Scholar
Cochrane, J. H.“Determinacy and Identification with Taylor Rules.” Journal of Political Economy, 119 (2011), 565–615.Google Scholar
Cogley, T., and Sbordone, A. M.. “Trend Inflation, Indexation, and Inflation Persistence in the New Keynesian Phillips Curve.” American Economic Review, 98 (2008), 2102–2126.Google Scholar
Consolo, A., and Favero, C. A.. “Monetary Policy Inertia: More a Fiction than a Fact?” Journal of Monetary Economics, 56 (2009), 900–906.Google Scholar
De Graeve, F.; Emiris, M.; and Wouters, R.. “A Structural Decomposition of the US Yield Curve.” Journal of Monetary Economics, 56 (2008), 545–559.Google Scholar
Diebold, F. X., and Mariano, R. S.. “Comparing Predictive Accuracy.” Journal of Business and Economic Statistics, 13 (1995), 253–263.Google Scholar
Diebold, F. X.; Rudebusch, G. D.; and Arouba, S. B.. “The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach.” Journal of Econometrics, 131 (2006), 309–338.Google Scholar
Duffee, G. R.“Term Premia and Interest Rate Forecasts in Affine Models.” Journal of Finance, 57 (2002), 405–443.Google Scholar
Duffee, G. R.“Forecasting Interest Rates.” In Handbook of Economic Forecasting, Vol. 2, Elliott, G. and Timmermann, A., eds. Amsterdam, The Netherlands: Elsevier (2013).Google Scholar
Elliott, G., and Stock, J. H.. “Inference in Time Series Regression When the Order of Integration of a Regressor Is Unknown.” Econometric Theory, 10 (1994), 672–700.Google Scholar
Engel, C., and West, K.. “Exchange Rates and Fundamentals.” Journal of Political Economy, 113 (2005), 485–517.Google Scholar
Engle, R. F., and Granger, C. W.. “Cointegration and Error Correction: Representation, Estimation and Testing.” Econometrica, 55 (1987), 251–276.Google Scholar
Fama, E. F.“Short-Term Interest Rates as Predictors of Inflation.” American Economic Review, 65 (1975), 269–282.Google Scholar
Fama, E. F.“Forward and Spot Exchange Rates.” Journal of Monetary Economics, 14 (1984), 319–338.Google Scholar
Fama, E. F., and Bliss, R. R.. “The Information in Long-Maturity Forward Rates.” American Economic Review, 77 (1987), 680–692.Google Scholar
Faust, J., and Wright, J. H.. “Forecasting Inflation.” In Handbook of Economic Forecasting, Vol. 2, Elliott, G. and Timmermann, A., eds. Amsterdam, The Netherlands: Elsevier (2013).Google Scholar
Forni, M.; Hallin, M.; Lippi, M.; and Reichlin, L.. “Do Financial Variables Help Forecasting Inflation and Real Activity in the Euro Area?” Journal of Monetary Economics, 50 (2003), 1243–1255.Google Scholar
Frankel, J. A., and Lown, C. S.. “An Indicator of Future Inflation Extracted from the Steepness of the Interest Rate Yield Curve along Its Entire Length.” Quarterly Journal of Economics, 109 (1994), 517–530.Google Scholar
Giacomini, R., and White, H.. “Tests of Conditional Predictive Ability.” Econometrica, 74 (2006), 1545–1578.Google Scholar
Goodfriend, M.“Interest-Rate Smoothing and Price Level Trend-Stationarity.” Journal of Monetary Economics, 19 (1987), 335–348.Google Scholar
Goodfriend, M.“The Phases of U.S. Monetary Policy: 1987 to 2001.” Federal Reserve Bank of Richmond Economic Quarterly, 88 (2002), 1–17.Google Scholar
Gurkaynak, R. S.; Sack, B.; and Wright, J. H.. “The U.S. Treasury Yield Curve: 1961 to the Present.” Journal of Monetary Economics, 54 (2007), 2291–2304.Google Scholar
Hansen, P. R., and Timmermann, A.. “Choice of Sample Split in Out-of-Sample Forecast Evaluation.” Working Paper, UCSD and CREATES (2012).Google Scholar
Harvey, D. I.; Leybourne, S. J.; and Newbold, P.. “Testing the Equality of Prediction Mean Squared Errors.” International Journal of Forecasting, 13 (1997), 281–291.Google Scholar
Inoue, A., and Kilian, L.. “In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?” Econometric Reviews, 23 (2004), 371–402.Google Scholar
Jansson, M., and Moreira, M. J.. “Optimal Inference in Regression Models with Nearly Integrated Regressors.” Econometrica, 74 (2006), 681–714.Google Scholar
Jorion, P., and Mishkin, F.. “A Multicountry Comparison of Term-Structure Forecasts at Long Horizons.” Journal of Financial Economics, 29 (1991), 59–80.Google Scholar
Kelly, B., and Pruitt, S.. “Market Expectations in the Cross-Section of Present Values.” Journal of Finance, 68 (2013), 1721–1756.Google Scholar
Kim, C.-J., and Nelson, C. R.. “Estimation of a Forward-Looking Monetary Policy Rule: A Time-Varying Parameter Model Using Ex-Post Data.” Journal of Monetary Economics, 53 (2006), 1949–1966.Google Scholar
Kim, D. H., and Orphanides, A.. “Term Structure Estimation with Survey Data on Interest Rate Forecasts.” Journal of Financial and Quantitative Analysis, 47 (2012), 241–272.Google Scholar
Levin, A.; Wieland, V.; and Williams, J. C.. “Robustness of Simple Monetary Policy Rules under Model Uncertainty.” In Monetary Policy Rules, Taylor, J. B., ed. Chicago, IL: University of Chicago Press (1999).Google Scholar
Mishkin, F.“The Information in the Term Structure: Some Further Results.” Journal of Applied Econometrics, 3 (1988), 307–314.Google Scholar
Mishkin, F. S.“What Does the Term Structure Tell Us about Future Inflation?” Journal of Monetary Economics, 25 (1990), 77–95.Google Scholar
Nelson, C. R., and Siegel, A. F.. “Parsimonious Modeling of Yield Curves.” Journal of Business, 60 (1987), 473–489.Google Scholar
Newey, W. K., and West, K. D.. “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55 (1987), 703–708.Google Scholar
Orphanides, A.“Monetary-Policy Rules and the Great Inflation.” American Economic Review, 92 (2002), 115–120.Google Scholar
Osborne, G.“Review of the Monetary Policy Framework.” Report, HM Treasury (2013).Google Scholar
Phillips, P.“Pitfalls and Possibilities in Predictive Regressions.” SoFie Conference Presentation, Yale University (2013).Google Scholar
Rossi, B., and Inoue, A.. “Out-of-Sample Forecast Tests Robust to the Choice of Window Size.” Journal of Business and Economic Statistics, 30 (2012), 432–453.Google Scholar
Rudebusch, G. D.“Term Structure Evidence on Interest Rate Smoothing and Monetary Policy Inertia.” Journal of Monetary Economics, 49 (2002), 1161–1187.Google Scholar
Rudebusch, G. D.“Monetary Policy Inertia: Fact or Fiction?” International Journal of Central Banking, 2 (2006), 85–135.Google Scholar
Sack, B.“Does the Fed Act Gradually? A VAR Analysis.” Journal of Monetary Economics, 46 (2000), 229–256.Google Scholar
Sims, C. A., and Zha, T.. “Were There Regime Switches in the U.S. Monetary Policy?” American Economic Review, 96 (2006), 54–81.Google Scholar
Sims, E. R.“Identification and Estimation of Interest Rate Rules in the New Keynesian Model.” Working Paper, University of Notre Dame (2008).Google Scholar
Stambaugh, R. F.“Predictive Regressions.” Journal of Financial Economics, 54 (1999), 375–421.Google Scholar
Stock, J. H., and Watson, M.. “Why Has Inflation Become Harder to Forecast?” Journal of Money, Credit and Banking, 39 (2007), 3–33.Google Scholar
Stock, J. H., and Watson, M.. “Modeling Inflation after the Crisis.” In Proceedings—Economic Policy Symposium, Jackson Hole, Kansas City, MO: Federal Reserve Bank of Kansas City (2010).Google Scholar
Stock, J. H., and Watson, M. W.. “Forecasting Output and Inflation: The Role of Asset Prices.” Journal of Economic Literature, 41 (2003), 788–829.Google Scholar
Svensson, L. E. O.“What Is Wrong with Taylor Rules? Using Judgement in Monetary Policy through Targeting Rules.” Journal of Economic Literature, 41 (2003), 426–477.Google Scholar
Svensson, L. E. O.“Monetary Policy with Judgement: Forecast Targeting.” International Journal of Central Banking, 1 (2005), 1–54.Google Scholar
Taylor, J. B.“Discretion vs. Policy Rules in Practice.” Carnegie-Rochester Conference Series on Public Policy, 39 (1993), 195–214.Google Scholar
Taylor, J. B.“A Historical Analysis of Monetary Policy Rules.” In Monetary Policy Rules, Taylor, J. B., ed. Chicago, IL: University of Chicago Press (1999).Google Scholar
Walsh, C. E. Monetary Theory and Policy, 2nd ed. Cambridge, MA: MIT Press (2003).Google Scholar
Welch, I., and Goyal, A.. “A Comprehensive Look at the Empirical Performance of Equity Premium Prediction.” Review of Financial Studies, 21 (2008), 1455–1508.Google Scholar
Woodford, M.“Optimal Monetary Policy Inertia.” The Manchester School, 67 (1999), 1–35.Google Scholar
Woodford, M. Interest and Prices. Princeton, NJ: Princeton University Press (2003).Google Scholar
Wu, L.“Estimating Risk-Return Relations with Analysts Price Targets.” Journal of Banking and Finance, 93 (2018), 183–197.Google Scholar