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Macroeconomic Sources of Risk in the Term Structure

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  • Michael R. Wickens

    (University of York (UK) - Department of Economics and Related Studies Heslington
    Centre for Economic Policy Research (CEPR)
    CESifo (Center for Economic Studies and Ifo Institute for Economic Research))

  • Chiona Balfoussia

    (University of York (UK) - Department of Economics and Related Studies)

Abstract

n this paper we develop a new way of modelling time variation in term premia. This is based on the stochastic discount factor model of asset pricing with observable macroeconomic factors. The joint distribution of excess holding period US bond returns of different maturity and the fundamental macroeconomic factors is modelled using multivariate GARCH with conditional covariances in the mean to capture the term premia. We show how by testing the assumption of no arbitrage we can derive a specification test of our model. We estimate the contribution made to the term premia at different maturities by real and nominal macroeconomic sources of risk. From the estimated term premia we recover the term structure of interest rates and examine how it varies through time. Finally, we examine whether the large number of reported failures of the rational expectations hypothesis of the term structure can be attributed to an omitted time-varying term premium.

Suggested Citation

  • Michael R. Wickens & Chiona Balfoussia, 2004. "Macroeconomic Sources of Risk in the Term Structure," CEIS Research Paper 61, Tor Vergata University, CEIS.
  • Handle: RePEc:rtv:ceisrp:61
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    Cited by:

    1. Karimalis, Emmanouil & Kosmidis, Ioannis & Peters, Gareth, 2017. "Multi yield curve stress-testing framework incorporating temporal and cross tenor structural dependencies," Bank of England working papers 655, Bank of England.
    2. Michael Wickens, 2022. "Forward Interest Rates as Predictors of Future US Spot Rates Before and After the 2008 Financial Crisis," Open Economies Review, Springer, vol. 33(3), pages 391-406, July.
    3. Glenn D. Rudebusch, 2010. "Macro‐Finance Models Of Interest Rates And The Economy," Manchester School, University of Manchester, vol. 78(s1), pages 25-52, September.
    4. 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.
    5. Tigran Poghosyan & Evzen Kocenda, 2006. "Foreign Exchange Risk Premium Determinants: Case of Armenia," CERGE-EI Working Papers wp297, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Leo Krippner & Michelle Lewis, 2018. "Real-time forecasting with macro-finance models in the presence of a zero lower bound," Reserve Bank of New Zealand Discussion Paper Series DP2018/04, Reserve Bank of New Zealand.
    7. Wickens, Michael R., 2014. "How did we get to where we are now? Reflections on 50 years of macroeconomic and financial econometrics," CEPR Discussion Papers 10197, C.E.P.R. Discussion Papers.
    8. Poghosyan Tigran, 2012. "Determinants of the Foreign Exchange Risk Premium in the Gulf Cooperation Council Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 7(3), pages 1-26, May.
    9. Barbedo, Claudio H.S. & de Melo, Eduardo F.L., 2012. "Joint dynamics of Brazilian interest rate yields and macro variables under a no-arbitrage restriction," Journal of Economics and Business, Elsevier, vol. 64(5), pages 364-376.
    10. Li, Matthew C., 2016. "US term structure and international stock market volatility: The role of the expectations factor and the maturity premium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 1-15.
    11. Michael Wickens, 2015. "How Did We Get to Where We Are Now? Reflections on 50 Years of Macroeconomic and Financial Econometrics," Manchester School, University of Manchester, vol. 83, pages 60-82, December.
    12. Till Strohsal & Enzo Weber, 2014. "Mean-variance cointegration and the expectations hypothesis," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1983-1997, November.
    13. Joyce, Michael A.S. & Lildholdt, Peter & Sorensen, Steffen, 2010. "Extracting inflation expectations and inflation risk premia from the term structure: A joint model of the UK nominal and real yield curves," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 281-294, February.
    14. Kocenda, Evzen & Poghosyan, Tigran, 2009. "Macroeconomic sources of foreign exchange risk in new EU members," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2164-2173, November.
    15. Hassan Shareef & Santhakumar Shijin, 2016. "Expectations Hypothesis and Term Structure of Interest Rates: An Evidence from Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(2), pages 137-152, June.
    16. Evžen Koèenda & Tigran Poghosyan, 2010. "Exchange Rate Risk in Central European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(1), pages 22-39, February.
    17. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Tigran Poghosyan & Evžen KoÄenda & Petr ZemÄik, 2008. "Modeling Foreign Exchange Risk Premium in Armenia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(1), pages 41-61, January.
    19. Dimitris A. Georgoutsos & Petros Migiakis, 2010. "European sovereign bond spreads: monetary unification, market conditions and financial integration," Working Papers 115, Bank of Greece.

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    More about this item

    Keywords

    term structure; the stochastic discount factor model; term premia; GARCH;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • G1 - Financial Economics - - General Financial Markets

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