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Demographics and The Behavior of Interest Rates

  • : Carlo A. Favero
  • : Arie E. Gozluklu
  • : Haoxi Yang

In this paper we relate the very persistent component of interest rates to a specific demographic variable, MYt, the proportion of middle-aged to young population. We first reconsider the results in Fama (2006) to document how MYt captures the long run component identified by Fama in his analysis of the one-year spot rate. Using MYt to model this low frequency component of interest rates is particularly useful for forecasting the term structure as the demographic variable is exogenous and highly predictable, even at very long horizons. We then study the forecasting performance of a no-arbitrage affine term structure model that allows for the presence of a persistent component driven by demographics. This performance is superior to that of a traditional affine term structure model with macroeconomic factors (e.g. Ang, Dong and Piazzesi, 2005).

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Paper provided by Warwick Business School, Finance Group in its series Working Papers with number wpn13-10.

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Date of creation: 2013
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Handle: RePEc:wbs:wpaper:wpn13-10
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  1. Andrew Ang & Geert Bekaert, 1998. "Regime Switches in Interest Rates," NBER Working Papers 6508, National Bureau of Economic Research, Inc.
  2. Pierluigi Balduzzi & Sanjiv Ranjan Das & Silverio Foresi, 1997. "The Central Tendency: A Second Factor in Bond Yields," NBER Working Papers 6325, National Bureau of Economic Research, Inc.
  3. 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.
  4. Favero, Carlo A. & Gozluklu, Arie & Tamoni, Andrea, 2010. "Demographic Trends, the Dividend-Price Ratio and the Predictability of Long-Run Stock Market Returns," CEPR Discussion Papers 7734, C.E.P.R. Discussion Papers.
  5. Andrew Ang & Sen Dong, 2005. "No-Arbitrage Taylor Rules," 2005 Meeting Papers 22, Society for Economic Dynamics.
  6. Glenn D. Rudebusch, 2001. "Term structure evidence on interest rate smoothing and monetary policy inertia," Working Paper Series 2001-02, Federal Reserve Bank of San Francisco.
  7. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
  8. Hans Dewachter & Marco Lyrio, 2003. "Macro Factors and the Term Structure of Interest Rates," Center for Economic Studies - Discussion papers ces0304, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
  9. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
  10. Jose-Victor Rios Rull & Jonathan Heathcote & Dirk Krueger & Andy Glover, 2011. "Intergenerational Redistribution in the Great Recession," 2011 Meeting Papers 141, Society for Economic Dynamics.
  11. Dai, Qiang & Singleton, Kenneth J., 2002. "Expectation puzzles, time-varying risk premia, and affine models of the term structure," Journal of Financial Economics, Elsevier, vol. 63(3), pages 415-441, March.
  12. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, 02.
  13. Ang, Andrew & Maddaloni, Angela, 2003. "Do demographic changes affect risk premiums? Evidence from international data," Working Paper Series 0208, European Central Bank.
  14. Joel Lander & Athanasios Orphanides & Martha Douvogiannis, 1997. "Earnings forecasts and the predictability of stock returns: evidence from trading the S&P," Finance and Economics Discussion Series 1997-6, Board of Governors of the Federal Reserve System (U.S.).
  15. Sharon Kozicki & P.A. Tinsley, 1997. "Shifting endpoints in the term structure of interest rates," Research Working Paper 97-08, Federal Reserve Bank of Kansas City.
  16. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
  17. Marcello Pericoli & Marco Taboga, 2006. "Canonical term-structure models with observable factors and the dynamics of bond risk premiums," Temi di discussione (Economic working papers) 580, Bank of Italy, Economic Research and International Relations Area.
  18. Geert Bekaert & Eric Engstrom, 2009. "Inflation and the stock market: Understanding the “Fed Model”," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
  19. Andrew Ang & Monika Piazzesi, 2001. "A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables," NBER Working Papers 8363, National Bureau of Economic Research, Inc.
  20. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
  21. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
  22. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
  23. Sydeny C. Ludvigson & Serena Ng, 2005. "Macro Factors in Bond Risk Premia," NBER Working Papers 11703, National Bureau of Economic Research, Inc.
  24. John Geanakoplos & Michael Magill & Martine Quinzii, 2003. "Demography and the Long Run Behavior of the Stock Market," Levine's Working Paper Archive 506439000000000269, David K. Levine.
  25. 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.
  26. John H. Cochrane & Monika Piazzesi, 2002. "Bond Risk Premia," NBER Working Papers 9178, National Bureau of Economic Research, Inc.
  27. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February.
  28. Favero, Carlo A. & Niu, Linlin & Sala, Luca, 2007. "Term Structure Forecasting: No-Arbitrage Restrictions vs Large Information Set," CEPR Discussion Papers 6206, C.E.P.R. Discussion Papers.
  29. S. Viswanathan & Adriano Rampini, 2013. "Household risk management," 2013 Meeting Papers 647, Society for Economic Dynamics.
  30. Bali, Turan & Heidari, Massoud & Wu, Liuren, 2009. "Predictability of Interest Rates and Interest-Rate Portfolios," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 517-527.
  31. Peter Hordahl & Oreste Tristani & David Vestin, 2003. "A joint econometric model of macroeconomic and term structure," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  32. Evans, George W. & Honkapohja, Seppo, 2002. "Adaptive learning and monetary policy design," Research Discussion Papers 29/2002, Bank of Finland.
  33. Bulkley, George & Harris, Richard D.F. & Nawosah, Vivekanand, 2011. "Revisiting the expectations hypothesis of the term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1202-1212, May.
  34. Hördahl, Peter & Tristani, Oreste & Vestin, David, 2004. "A joint econometric model of macroeconomic and term structure dynamics," Working Paper Series 0405, European Central Bank.
  35. Burkhard Heer & Alfred Maussner & Paul D. McNelis, 2007. "The Money-Age Distribution: Empirical Facts and Limited Monetary Models," CESifo Working Paper Series 1917, CESifo Group Munich.
  36. Campbell, John Y & Shiller, Robert J, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," Review of Economic Studies, Wiley Blackwell, vol. 58(3), pages 495-514, May.
  37. Bakshi, Gurdip S & Chen, Zhiwu, 1994. "Baby Boom, Population Aging, and Capital Markets," The Journal of Business, University of Chicago Press, vol. 67(2), pages 165-202, April.
  38. Lindh, Thomas & Malmberg, Bo, 2000. "Can age structure forecast inflation trends?," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 31-49.
  39. Gallmeyer, Michael F. & Hollifield, Burton & Zin, Stanley E., 2005. "Taylor rules, McCallum rules and the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 52(5), pages 921-950, July.
  40. Goyal, Amit, 2004. "Demographics, Stock Market Flows, and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(01), pages 115-142, March.
  41. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
  42. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-92, September.
  43. Robin Brooks, 2000. "What Will Happen To Financial Markets When The Baby Boomers Retire?," Computing in Economics and Finance 2000 92, Society for Computational Economics.
  44. S Derlind, Paul & S Derstr M, Ulf & Vredin, Anders, 2005. "Dynamic Taylor Rules And The Predictability Of Interest Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 9(03), pages 412-428, June.
  45. Gregory R. Duffee, 2002. "Term Premia and Interest Rate Forecasts in Affine Models," Journal of Finance, American Finance Association, vol. 57(1), pages 405-443, 02.
  46. Mönch, Emanuel, 2005. "Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach," Working Paper Series 0544, European Central Bank.
  47. Stefano DellaVigna & Joshua M. Pollet, 2007. "Demographics and Industry Returns," American Economic Review, American Economic Association, vol. 97(5), pages 1667-1702, December.
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