IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2010_17.html
   My bibliography  Save this paper

Yield Curve Dynamics: Regional Common Factor Model

Author

Abstract

In this paper, we focus on thorough yield curve modelling. We build on extended classical Nelson-Siegel model, which we further develop to accommodate unobserved regional common factors. We centre our discussion on Central European currencies’ yield curves: CZK, HUF, PLN and SKK. We propose a model to capture regional dynamics purely based on state space formulation. The contribution of this paper is twofold: we examine regional yield curve dynamics and we quantify regional interdependencies amongst considered currencies’ yield curves. We conclude that the CZK yield curve possesses its own dynamics corresponding to country specific features, whereas other currencies’ yield curves are strongly influenced by the regional level, the regional slope factor or both.

Suggested Citation

  • Boril Šopov & Jakub Seidler, 2010. "Yield Curve Dynamics: Regional Common Factor Model," Working Papers IES 2010/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2010.
    • Handle: RePEc:fau:wpaper:wp2010_17
    as

    Download full text from publisher

    File URL: http://ies.fsv.cuni.cz/default/file/download/id/13846
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Diebold, Francis X. & Li, Canlin & Yue, Vivian Z., 2008. "Global yield curve dynamics and interactions: A dynamic Nelson-Siegel approach," Journal of Econometrics, Elsevier, vol. 146(2), pages 351-363, October.
    2. 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.
    3. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178, Decembrie.
    4. Arnaud Mehl, 2009. "The Yield Curve as a Predictor and Emerging Economies," Open Economies Review, Springer, vol. 20(5), pages 683-716, November.
    5. Mr. Willy A Hoffmaister & Mr. Jorge Roldos & Ms. Anita Tuladhar, 2010. "Yield Curve Dynamics and Spillovers in Central and Eastern European Countries," IMF Working Papers 2010/051, International Monetary Fund.
    6. Francis X. Diebold & Lei Ji & Canlin Li, 2006. "A Three-Factor Yield Curve Model: Non-Affine Structure, Systematic Risk Sources and Generalized Duration," Chapters, in: Lawrence R. Klein (ed.), Long-run Growth and Short-run Stabilization, chapter 9, Edward Elgar Publishing.
    7. Zoltán Reppa, 2009. "A joint macroeconomic-yield curve model for Hungary," MNB Working Papers 2009/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    8. 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.
    9. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    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. Oxana Babecka Kucharcukova & Alexis Derviz & Vaclav Hausenblas & Michal Hlavacek & Mark Joy & Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Ivana Kubicova & Jitka Lesanovska, 2014. "Macroprudential Research: Selected Issues," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 12, number rb12/2 edited by Jan Babecky & Borek Vasicek, January.
    2. Robert Ambrisko & Vitezslav Augusta & Jan Babecky & Michal Franta & Dana Hajkova & Petr Kral & Jan Libich & Pavla Netusilova & Milan Rikovsky & Jakub Rysanek & Pavel Soukup & Petr Stehlik & Vilem Vale, 2013. "Macroeconomic Effects of Fiscal Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 11, number rb11/2 edited by Jan Babecky & Kamil Galuscak, January.
    3. Jose Peydro Alcalde & Sona Benecka & Alexis Derviz & Adam Gersl & Tomas Holub & Roman Horvath & Petr Jakubik & Narcisa Liliana Kadlcakova & Dorota Kowalczyk & Ivana Kubicova & Steven Ongena & Jakub Ry, 2012. "Financial Stability and Monetary Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 10, number rb10/2 edited by Jan Babecky & Roman Horvath, January.
    4. Katerina Arnostova & Jozef Barunik & Jan Filacek & Michal Franta & David Havrlant & Roman Horvath & Filip Novotny & Marie Rakova & Lubos Ruzicka & Branislav Saxa & Katerina Smidkova & Peter Toth, 2012. "Macroeconomic Forecasting: Methods, Accuracy and Coordination," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 10, number rb10/1 edited by Jan Babecky, January.
    5. Lubomira Gertler, 2015. "Interactions of Unconventional Monetary Policy Measures with the Euro Area Yield Curve," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 106-126, March.
    6. Kamil Galuscak & Adam Gersl & Marcela Gronychova & Petr Hlavac & Petr Jakubik & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Jakub Seidler, 2014. "Stress-Testing Analyses of the Czech Financial System," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 12, number rb12/1 edited by Jan Babecky & Roman Horvath, January.
    7. Jaromir Baxa & Michal Franta & Tomas Havranek & Roman Horvath & Miroslav Plasil & Marek Rusnak & Borek Vasicek, 2013. "Transmission of Monetary Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 11, number rb11/1 edited by Jan Babecky & Roman Horvath, January.
    8. Vilimir Yordanov, 2012. "The Bulgarian Foreign and Domestic Debt ??? A No-Arbitrage Macrofinancial View," William Davidson Institute Working Papers Series wp1032, William Davidson Institute at the University of Michigan.

    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. Yifeng Yan & Ju'e Guo, 2015. "The Sovereign Yield Curve and the Macroeconomy in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 415-441, August.
    2. Sowmya, Subramaniam & Prasanna, Krishna & Bhaduri, Saumitra, 2016. "Linkages in the term structure of interest rates across sovereign bond markets," Emerging Markets Review, Elsevier, vol. 27(C), pages 118-139.
    3. Leo Krippner, 2009. "A theoretical foundation for the Nelson and Siegel class of yield curve models," Reserve Bank of New Zealand Discussion Paper Series DP2009/10, Reserve Bank of New Zealand.
    4. Siem Jan Koopman & Max I.P. Mallee & Michel van der Wel, 2007. "Analyzing the Term Structure of Interest Rates using the Dynamic Nelson-Siegel Model with Time-Varying Parameters," Tinbergen Institute Discussion Papers 07-095/4, Tinbergen Institute.
    5. Stona, Filipe & Caldeira, João F., 2019. "Do U.S. factors impact the Brazilian yield curve? Evidence from a dynamic factor model," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 76-89.
    6. Coroneo, Laura & Nyholm, Ken & Vidova-Koleva, Rositsa, 2011. "How arbitrage-free is the Nelson-Siegel model?," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 393-407, June.
    7. Cavaca, Igor Bastos & Meurer, Roberto, 2021. "International monetary policy spillovers: Linkages between U.S. and South American yield curves," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 737-754.
    8. Krishna Prasanna & Subramaniam Sowmya, 2017. "Yield curve in India and its interactions with the US bond market," International Economics and Economic Policy, Springer, vol. 14(2), pages 353-375, April.
    9. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    10. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
    11. Lauren Stagnol, 2017. "Introducing global term structure in a risk parity framework," Working Papers hal-04141648, HAL.
    12. Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
    13. Borus Jungbacker & Siem Jan Koopman & Michel van der Wel, 0000. "Dynamic Factor Models with Smooth Loadings for Analyzing the Term Structure of Interest Rates," Tinbergen Institute Discussion Papers 09-041/4, Tinbergen Institute, revised 17 Sep 2010.
    14. Niels Haldrup & Carsten P. T. Rosenskjold, 2019. "A Parametric Factor Model of the Term Structure of Mortality," Econometrics, MDPI, vol. 7(1), pages 1-22, March.
    15. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    16. Dick, Christian D. & Schmeling, Maik & Schrimpf, Andreas, 2013. "Macro-expectations, aggregate uncertainty, and expected term premia," European Economic Review, Elsevier, vol. 58(C), pages 58-80.
    17. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    18. Yu, Wei-Choun & Zivot, Eric, 2011. "Forecasting the term structures of Treasury and corporate yields using dynamic Nelson-Siegel models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 579-591.
    19. Lange, Ronald H., 2017. "The expected real yield and inflation components of the nominal yield curve," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 1-18.
    20. Shi Chen & Wolfgang Karl Härdle & Weining Wang, 2022. "The common and specific components of inflation expectations across European countries," Empirical Economics, Springer, vol. 62(2), pages 553-580, February.

    More about this item

    Keywords

    Dynamic Factor Model; Kalman Filter; Nelson-Siegel; State Space; Regional Yield Curve; Principal Component Analysis;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fau:wpaper:wp2010_17. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.