IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v14y2010i2n4.html
   My bibliography  Save this article

Estimating the Term Premium by a Markov Switching Model with ARMA-GARCH Errors

Author

Listed:
  • Yoo Byoung Hark

    () (Soongsil University)

Abstract

We estimate the term premium in the term structure of risk-free interest rates using a Markov switching model with ARMA-GARCH errors. We find that the Markov switching term premium is closely related to the U.S. business cycle and plays a significant role in explaining changes in short-term interest rates. The result is not affected even when we consider other macro variables or excess return forecasting factors. In order to estimate the Markov switching model with the non-Markovian structure, we propose a new Bayesian approach by which we do not need to approximate the likelihood function and we generate the state variable using a Gibbs sampler.

Suggested Citation

  • Yoo Byoung Hark, 2010. "Estimating the Term Premium by a Markov Switching Model with ARMA-GARCH Errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(2), pages 1-20, March.
    • Handle: RePEc:bpj:sndecm:v:14:y:2010:i:2:n:4
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/snde.2010.14.2/snde.2010.14.2.1398/snde.2010.14.2.1398.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    2. 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.
    3. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    4. Nakatsuma, Teruo, 2000. "Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach," Journal of Econometrics, Elsevier, vol. 95(1), pages 57-69, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hyun Kook Shin & Byoung Hark Yoo, 2012. "The Volatility Of The Won-Dollar Exchange Rate During The 2008-9 Crisis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(4), pages 61-77, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hautsch, Nikolaus & Ou, Yangguoyi, 2012. "Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2988-3007.
    2. repec:zbw:cfswop:wp200903 is not listed on IDEAS
    3. Matsumura, Marco & Moreira, Ajax & Vicente, José, 2011. "Forecasting the yield curve with linear factor models," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 237-243.
    4. Ben S. Bernanke & Vincent R. Reinhart & Brian P. Sack, 2004. "Monetary Policy Alternatives at the Zero Bound: An Empirical Assessment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(2), pages 1-100.
    5. 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.
    6. Huse, Cristian, 2011. "Term structure modelling with observable state variables," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3240-3252.
    7. Zhang, Yuhua & Niu, Yingjie & Wu, Ting, 2020. "Stochastic interest rates under rational inattention," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Marco Realdon, 2006. "The Target Rate and Term Structure of Interest Rates," Discussion Papers 06/15, Department of Economics, University of York.
    9. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Robin Greenwood & Dimitri Vayanos, 2014. "Bond Supply and Excess Bond Returns," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 663-713.
    11. Bjørn Eraker, 2008. "Affine General Equilibrium Models," Management Science, INFORMS, vol. 54(12), pages 2068-2080, December.
    12. Sánchez, Juan M. & Sapriza, Horacio & Yurdagul, Emircan, 2018. "Sovereign default and maturity choice," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 72-85.
    13. Carmen Gloria Silva, 2010. "Forward premium puzzle and term structure of interest rates: the case of New Zealand," Working Papers Central Bank of Chile 570, Central Bank of Chile.
    14. Kaya, Huseyin, 2013. "Forecasting the yield curve and the role of macroeconomic information in Turkey," Economic Modelling, Elsevier, vol. 33(C), pages 1-7.
    15. Taeyoung Doh, 2012. "What Does the Yield Curve Tell Us about the Federal Reserve’s Implicit Inflation Target?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(2‐3), pages 469-486, March.
    16. Hamilton, James D. & Wu, Jing Cynthia, 2012. "Identification and estimation of Gaussian affine term structure models," Journal of Econometrics, Elsevier, vol. 168(2), pages 315-331.
    17. Gregory R. Duffee, 2012. "Bond pricing and the macroeconomy," Economics Working Paper Archive 598, The Johns Hopkins University,Department of Economics.
    18. Andreas Reschreiter, 2011. "Real and nominal UK interest rates, ERM membership, and inflation targeting," Empirical Economics, Springer, vol. 40(3), pages 559-579, May.
    19. Engle, Robert & Roussellet, Guillaume & Siriwardane, Emil, 2017. "Scenario generation for long run interest rate risk assessment," Journal of Econometrics, Elsevier, vol. 201(2), pages 333-347.
    20. Juneja, Januj, 2014. "Term structure estimation in the presence of autocorrelation," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 119-129.
    21. Fan, Longzhen & Johansson, Anders C., 2010. "China's official rates and bond yields," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 996-1007, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sndecm:v:14:y:2010:i:2:n:4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla). General contact details of provider: https://www.degruyter.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.