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An Econometric Model of the Yield Curve With Macroeconomic Jump Effects

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  • Piazzesi, Monika

Abstract

We present a simulation-based method for solving realistic portfolio choice problems that potentially involve non-standard preferences and a large number of assets with arbitrary return distribution. Specifically, the return distribution can be time-varying as a function of many observable or unobservable state variables and can even be path-dependent. Furthermore, the method is flexible enough to accommodate intermediate consumption, parameter and model uncertainty, and portfolio constraints. We first establish the properties of the method for the choice between a stock index and cash when the stock returns are either iid or predictable by the dividend yield. We then explore the optimal asset allocation across ten industry portfolios that exhibit momentum through its empirical pattern of own- and cross-serial correlations of returns.

Suggested Citation

  • Piazzesi, Monika, 2001. "An Econometric Model of the Yield Curve With Macroeconomic Jump Effects," University of California at Los Angeles, Anderson Graduate School of Management qt5946p7hn, Anderson Graduate School of Management, UCLA.
  • Handle: RePEc:cdl:anderf:qt5946p7hn
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    Cited by:

    1. George Monokroussos, 2011. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 519-534, March.
    2. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    3. 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.
    4. Jan Hanousek & Evžen Kočenda, 2011. "Foreign News and Spillovers in Emerging European Stock Markets," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 170-188, February.
    5. Dieckmann, Stephan & Gallmeyer, Michael, 2005. "The equilibrium allocation of diffusive and jump risks with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1547-1576, September.
    6. Viktor Kotlán, 2001. "Monetary policy and the term structure of interest rates in a small open economy - a model framework approach," Macroeconomics 0110003, EconWPA.
    7. Hans Dewachter & Marco Lyrio & Konstantijn Maes, 2004. "The Effect of Monetary Unification on German Bond Markets," European Financial Management, European Financial Management Association, vol. 10(3), pages 487-509.
    8. 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.
    9. Kim, Don H. & Wright, Jonathan H., 2014. "Jumps in Bond Yields at Known Times," Finance and Economics Discussion Series 2014-100, Board of Governors of the Federal Reserve System (U.S.), revised 01 Jun 2016.
    10. Bartolini, Leonardo & Prati, Alessandro, 2006. "Cross-country differences in monetary policy execution and money market rates' volatility," European Economic Review, Elsevier, vol. 50(2), pages 349-376, February.
    11. Jiang, George & Yan, Shu, 2009. "Linear-quadratic term structure models - Toward the understanding of jumps in interest rates," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 473-485, March.
    12. Marcello Pericoli, 2013. "Macroeconomic and monetary policy surprises and the term structure of interest rates," Temi di discussione (Economic working papers) 927, Bank of Italy, Economic Research and International Relations Area.
    13. Hibiki Ichiue, 2004. "Why Can the Yield Curve Predict Output Growth, Inflation, and Interest Rates? An Analysis with Affine Term Structure Model," Econometric Society 2004 Far Eastern Meetings 581, Econometric Society.
    14. Monika Piazzesi, 2002. "The Fed and Interest Rates - A High-Frequency Identification," American Economic Review, American Economic Association, vol. 92(2), pages 90-95, May.
    15. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "On time-scaling of risk and the square-root-of-time rule," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2701-2713, October.
    16. Peng Cheng & Olivier Scaillet, 2002. "Linear-Quadratic Jump-Diffusion Modeling with Application to Stochastic Volatility," FAME Research Paper Series rp67, International Center for Financial Asset Management and Engineering.
    17. Isela Elizabeth Téllez León & Francisco Venegas Martínez, 2013. "Principales determinantes en las decisiones de política monetaria de México: un análisis econométrico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 28(1), pages 79-108.
    18. Benjamin Cohen & Hyun Song Shin, 2002. "Positive feedback trading under stress: evidence from the US Treasury securities market," BIS Papers chapters,in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 148-180 Bank for International Settlements.
    19. Hanousek, Jan & Kocenda, Evzen & Kutan, Ali M., 2009. "The reaction of asset prices to macroeconomic announcements in new EU markets: Evidence from intraday data," Journal of Financial Stability, Elsevier, vol. 5(2), pages 199-219, June.
    20. Don H. Kim & Jonathan H. Wright, 2014. "Jumps in Bond Yields at Known Times," NBER Working Papers 20711, National Bureau of Economic Research, Inc.
    21. Torben B. Rasmussen, "undated". "Affine Bond Pricing with a Mixture Distribution for Interest Rate Time-Series DynamicsCreation-Date: 20100225," CREATES Research Papers 2010-11, Department of Economics and Business Economics, Aarhus University.
    22. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps," Research Paper Series 385, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Monika Piazzesi, 2005. "Bond Yields and the Federal Reserve," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 311-344, April.
    24. Massimo Bernaschi & Maya Briani & Marco Papi & Davide Vergni, 2007. "Scenario-generation methods for an optimal public debt strategy," Quantitative Finance, Taylor & Francis Journals, vol. 7(2), pages 217-229.
    25. Durham, Garland B., 2003. "Likelihood-based specification analysis of continuous-time models of the short-term interest rate," Journal of Financial Economics, Elsevier, vol. 70(3), pages 463-487, December.

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