IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for " Estimating the Term Structure of Interest Rates for Monetary Policy Analysis"

by Dahlquist, Magnus & Svensson, Lars E O

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Linton, Oliver & Mammen, Enno & Nielsen, Jens Perch & Tanggaard, Carsten, 1998. "Estimating yield curves by Kernel smoothing methods," SFB 373 Discussion Papers 1999,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  2. Linton, Oliver & Mammen, Enno & Nielsen, Jans Perch & Tanggaard, Carsten, 2001. "Yield curve estimation by kernel smoothing methods," Journal of Econometrics, Elsevier, vol. 105(1), pages 185-223, November.
  3. Schich, Sebastian T., 1996. "Alternative specifications of the German term structure and its information content regarding inflation," Discussion Paper Series 1: Economic Studies 1996,08e, Deutsche Bundesbank, Research Centre.
  4. Schich, Sebastian T., 1996. "Alternative Spezifikationen der deutschen Zinsstrukturkurve und ihr Informationsgehalt hinsichtlich der Inflation," Discussion Paper Series 1: Economic Studies 1996,08, Deutsche Bundesbank, Research Centre.
  5. 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.
  6. Hördahl, Peter, 2000. "Estimating the Implied Distribution of the Future Short-Term Interest Rate Using the Longstaff-Schwartz Model," Working Paper Series 111, Sveriges Riksbank (Central Bank of Sweden).
  7. Duffie, Darrell, 2003. "Intertemporal asset pricing theory," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 11, pages 639-742 Elsevier.
  8. Yu, Fan, 2005. "Accounting transparency and the term structure of credit spreads," Journal of Financial Economics, Elsevier, vol. 75(1), pages 53-84, January.
  9. Leo Krippner, 2008. "A Macroeconomic Foundation for the Nelson and Siegel Class of Yield Curve Models," Research Paper Series 226, Quantitative Finance Research Centre, University of Technology, Sydney.
  10. Elton, Edwin J. & Gruber, Martin J. & Agrawal, Deepak & Mann, Christopher, 2004. "Factors affecting the valuation of corporate bonds," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2747-2767, November.
  11. repec:dgr:uvatin:2007043 is not listed on IDEAS
  12. Eder, Armin & Keiler, Sebastian & Pichl, Hannes, 2013. "Interest rate risk and the Swiss solvency test," Discussion Papers 41/2013, Deutsche Bundesbank, Research Centre.
  13. Julián Andrada-Félix & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez, 2015. "Fixed income strategies based on the prediction of parameters in the NS model for the Spanish public debt market," SERIEs, Spanish Economic Association, vol. 6(2), pages 207-245, June.
  14. Gann, Philipp & Laut, Amelie, 2008. "Einflussfaktoren auf den Credit Spread von Unternehmensanleihen," Discussion Papers in Business Administration 4231, University of Munich, Munich School of Management.
  15. Leo Krippner, 2003. "Modelling the Yield Curve with Orthonomalised Laguerre Polynomials: An Intertemporally Consistent Approach with an Economic Interpretation," Working Papers in Economics 03/01, University of Waikato, Department of Economics.
  16. Edward J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 1999. "Explaining the Rate Spread on Corporate Bonds," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-082, New York University, Leonard N. Stern School of Business-.
  17. Leo Krippner, 2006. "A Theoretically Consistent Version of the Nelson and Siegel Class of Yield Curve Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 13(1), pages 39-59.
  18. Leo Krippner, 2005. "An Intertemporally-Consistent and Arbitrage-Free Version of the Nelson and Siegel Class of Yield Curve Models," Working Papers in Economics 05/01, University of Waikato, Department of Economics.
  19. Annaert, Jan & Claes, Anouk G.P. & De Ceuster, Marc J.K. & Zhang, Hairui, 2013. "Estimating the spot rate curve using the Nelson–Siegel model," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 482-496.
  20. Favero, Carlo A. & Giglio, Stefano W, 2006. "Fiscal Policy and the Term Structure: Evidence from the Case of Italy in the EMS and the EMU Periods," CEPR Discussion Papers 5793, C.E.P.R. Discussion Papers.
  21. Francis X. Diebold & Glenn D. Rudebusch & S. Boragan Aruoba, 2003. "The macroeconomy and the yield curve: a nonstructural analysis," Working Paper Series 2003-18, Federal Reserve Bank of San Francisco.
  22. Michiel De Pooter, 2007. "Examining the Nelson-Siegel Class of Term Structure Models," Tinbergen Institute Discussion Papers 07-043/4, Tinbergen Institute.
  23. Mylonidis, Nikolaos & Paleologou, Suzanna-Maria, 2011. "The real uncovered interest parity: The case of Canada and the USA," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 255-267, March.
  24. Berger, Helge & Woitek, Ulrich, 2001. "The German political business cycle: money demand rather than monetary policy," European Journal of Political Economy, Elsevier, vol. 17(3), pages 609-631, September.
  25. Marvin Goodfriend, 1998. "Using the term structure of interest rates for monetary policy," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 13-30.
  26. 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.
  27. repec:cep:stiecm:/2000/385 is not listed on IDEAS
  28. Jelena Zubkova, 2003. "Interest Rate Term Structure in Latvia in the Monetary Policy Context," Working Papers 2003/03, Latvijas Banka.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.