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Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach

Citations

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Cited by:

  1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
  2. Thomas Laubach, 2011. "Fiscal Policy and Interest Rates: The Role of Sovereign Default Risk," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 7-30.
  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. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
  5. Adrian, Tobias & Crump, Richard K. & Moench, Emanuel, 2013. "Pricing the term structure with linear regressions," Journal of Financial Economics, Elsevier, vol. 110(1), pages 110-138.
  6. Roberta Fiori & Simonetta Iannotti, 2010. "On the interaction between market and credit risk: a factor-augmented vector autoregressive (FAVAR) approach," Temi di discussione (Economic working papers) 779, Bank of Italy, Economic Research and International Relations Area.
  7. Favero, Carlo A. & Sala, Luca & Niu, Linlin, 2007. "Term Structure Forecasting: No-Arbitrage Restrictions vs Large Information Set," CEPR Discussion Papers 6206, C.E.P.R. Discussion Papers.
  8. Lengwiler, Yvan & Lenz, Carlos, 2010. "Intelligible factors for the yield curve," Journal of Econometrics, Elsevier, vol. 157(2), pages 481-491, August.
  9. Zagaglia, Paolo, 2010. "Macroeconomic factors and oil futures prices: A data-rich model," Energy Economics, Elsevier, vol. 32(2), pages 409-417, March.
  10. Michal Dvorák & Zlatuše Komárková & Adam Kucera, 2019. "The Czech Government Yield Curve Decomposition at the Lower Bound," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(1), pages 2-36, February.
  11. Yun, Jaeho, 2019. "Bond risk premia in a small open economy with volatile capital flows: The case of Korea," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 223-243.
  12. Mirko Abbritti & Salvatore Dell’Erba & Antonio Moreno & Sergio Sola, 2018. "Global Factors in the Term Structure of Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 301-340, March.
  13. Atsushi Inoue & Barbara Rossi, 2021. "A new approach to measuring economic policy shocks, with an application to conventional and unconventional monetary policy," Quantitative Economics, Econometric Society, vol. 12(4), pages 1085-1138, November.
  14. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1), pages 557-567.
  15. Backus, David & Zin, Stanley E. & Chernov, Mikhail & Zviadadze, Irina, 2013. "Monetary policy risk: Rules vs. discretion," CEPR Discussion Papers 9611, C.E.P.R. Discussion Papers.
  16. Audrino, Francesco & Camponovo, Lorenzo, 2013. "Oracle Properties and Finite Sample Inference of the Adaptive Lasso for Time Series Regression Models," Economics Working Paper Series 1327, University of St. Gallen, School of Economics and Political Science.
  17. Krishnan, C.N.V. & Ritchken, Peter H. & Thomson, James B., 2010. "Predicting credit spreads," Journal of Financial Intermediation, Elsevier, vol. 19(4), pages 529-563, October.
  18. Eric Ghysels & Casidhe Horan & Emanuel Moench, 2018. "Forecasting through the Rearview Mirror: Data Revisions and Bond Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 678-714.
  19. Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando, 2017. "Forecasting the Brazilian yield curve using forward-looking variables," International Journal of Forecasting, Elsevier, vol. 33(1), pages 121-131.
  20. Molenaars, Tomas K. & Reinerink, Nick H. & Hemminga, Marcus A., 2013. "Forecasting the yield curve - Forecast performance of the dynamic Nelson-Siegel model from 1971 to 2008," MPRA Paper 61862, University Library of Munich, Germany.
  21. Alexei Onatski & Francisco Ruge‐Murcia, 2013. "Factor Analysis Of A Large Dsge Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 903-928, September.
  22. Dauwe, Alexander & Moura, Marcelo L., 2011. "Forecasting the term structure of the Euro Market using Principal Component Analysis," Insper Working Papers wpe_233, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
  23. Periklis Gogas & Theophilos Papadimitriou & Maria Matthaiou & Efthymia Chrysanthidou, 2015. "Yield Curve and Recession Forecasting in a Machine Learning Framework," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 635-645, April.
  24. Felix Geiger, 2009. "International Interest-Rate Risk Premia in Affine Term Structure Models," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 316/2009, Department of Economics, University of Hohenheim, Germany.
  25. Yohei Yamamoto, 2019. "Bootstrap inference for impulse response functions in factor‐augmented vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 247-267, March.
  26. Yunjung Kim & Cheolbeom Park, 2020. "Are exchange rates disconnected from macroeconomic variables? Evidence from the factor approach," Empirical Economics, Springer, vol. 58(4), pages 1713-1747, April.
  27. Carlo A. Favero & Linlin Niu & Luca Sala, 2012. "Term Structure Forecasting: No‐Arbitrage Restrictions versus Large Information Set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(2), pages 124-156, March.
  28. Choi, Ahjin & Kang, Kyu Ho, 2023. "Modeling the time-varying dynamic term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 153(C).
  29. Marco Shinobu Matsumura & Ajax Reynaldo Bello Moreira & José Valentim Machado Vicente, 2010. "Forecasting the Yield Curve with Linear Factor Models," Working Papers Series 223, Central Bank of Brazil, Research Department.
  30. Paolo Zagaglia, 2013. "Forecasting Long-Term Interest Rates with a General-Equilibrium Model of the Euro Area: What Role for Liquidity Services of Bonds?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(4), pages 383-430, November.
  31. Paolo Zagaglia, 2011. "Forecasting Long-Term Interest Rates with a Dynamic General Equilibrium Model of the Euro Area: The Role of the Feedback," Working Paper series 19_11, Rimini Centre for Economic Analysis.
  32. Garcí­a, Juan Angel & Werner, Sebastian E. V., 2016. "Bond risk premia, macroeconomic factors and financial crisis in the euro area," Working Paper Series 1938, European Central Bank.
  33. Alex Mandilaras & Helen Popper, 2009. "Capital Flows, Capitalization, and Openness in Emerging East Asian Economies," Review of International Economics, Wiley Blackwell, vol. 17(4), pages 734-750, September.
  34. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  35. David Jamieson Bolder & Yuliya Romanyuk, 2010. "Combining Canadian Interest Rate Forecasts," Palgrave Macmillan Books, in: Arjan B. Berkelaar & Joachim Coche & Ken Nyholm (ed.), Interest Rate Models, Asset Allocation and Quantitative Techniques for Central Banks and Sovereign Wealth Funds, chapter 1, pages 3-30, Palgrave Macmillan.
  36. Wang, Weining & Yu, Lining & Wang, Bingling, 2020. "Tail Event Driven Factor Augmented Dynamic Model," IRTG 1792 Discussion Papers 2020-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  37. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2012. "Forecasting government bond yields with large Bayesian vector autoregressions," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2026-2047.
  38. João Frois Caldeira & Rangan Gupta & Muhammad Tahir Suleman & Hudson S. Torrent, 2021. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4312-4329, December.
  39. Koopman, Siem Jan & van der Wel, Michel, 2013. "Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model," International Journal of Forecasting, Elsevier, vol. 29(4), pages 676-694.
  40. Libo Yin & Liyan Han, 2016. "Macroeconomic impacts on commodity prices: China vs. the United States," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 489-500, March.
  41. Wali Ullah, 2020. "The arbitrage-free generalized Nelson–Siegel term structure model: Does a good in-sample fit imply better out-of-sample forecasts?," Empirical Economics, Springer, vol. 59(3), pages 1243-1284, September.
  42. Hokuto Ishii, 2019. "Forecasting Term Structure of Interest Rates in Japan," IJFS, MDPI, vol. 7(3), pages 1-35, July.
  43. Todd E. Clark & Michael W. McCracken, 2010. "Reality checks and nested forecast model comparisons," Working Papers 2010-032, Federal Reserve Bank of St. Louis.
  44. Yoshiyuki Suimon & Hiroki Sakaji & Kiyoshi Izumi & Hiroyasu Matsushima, 2020. "Autoencoder-Based Three-Factor Model for the Yield Curve of Japanese Government Bonds and a Trading Strategy," JRFM, MDPI, vol. 13(4), pages 1-21, April.
  45. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
  46. 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.
  47. Fausto Vieira & Fernando Chague, Marcelo Fernandes, 2016. "A dynamic Nelson-Siegel model with forward-looking indicators for the yield curve in the US," Working Papers, Department of Economics 2016_31, University of São Paulo (FEA-USP).
  48. Li, Jiahan & Chen, Weiye, 2014. "Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 996-1015.
  49. Christensen, Jens H.E. & Diebold, Francis X. & Rudebusch, Glenn D., 2011. "The affine arbitrage-free class of Nelson-Siegel term structure models," Journal of Econometrics, Elsevier, vol. 164(1), pages 4-20, September.
  50. 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.
  51. Andrea Ajello & Luca Benzoni & Olena Chyruk & Stijn Van Nieuwerburgh, 2020. "Core and ‘Crust’: Consumer Prices and the Term Structure of Interest Rates," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3719-3765.
  52. repec:hal:journl:peer-00844809 is not listed on IDEAS
  53. Fernandes, Marcelo & Nunes, Clemens & Reis, Yuri, 2021. "What Drives the Nominal Yield Curve in Brazil?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(2), April.
  54. Halberstadt, Arne, 2015. "The term structure of interest rates and the macroeconomy: Learning about economic dynamics from a FAVAR," Discussion Papers 02/2015, Deutsche Bundesbank.
  55. Pang, Iris Ai Jao, 2010. "Were Fed’s active monetary policy actions necessary?," MPRA Paper 32496, University Library of Munich, Germany.
  56. Eriksen, Jonas N., 2017. "Expected Business Conditions and Bond Risk Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1667-1703, August.
  57. Baskot, Bojan & Orsag, Silvije & Mikerevic, Dejan, 2018. "Yield Curve In Bosnia And Herzegovina: Financial And Macroeconomic Framework," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 1-15.
  58. David Backus & Mikhail Chernov & Stanley Zin, 2013. "Identifying Taylor Rules in Macro-finance Models," Working Papers 13-12, New York University, Leonard N. Stern School of Business, Department of Economics.
  59. Caio Almeida & Kym Ardison & Daniela Kubudi & Axel Simonsen & José Vicente, 2018. "Forecasting Bond Yields with Segmented Term Structure Models," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 1-33.
  60. Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
  61. 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.
  62. Pang, Iris Ai Jao, 2010. "Forecasting Hong Kong economy using factor augmented vector autoregression," MPRA Paper 32495, University Library of Munich, Germany.
  63. repec:wyi:journl:002125 is not listed on IDEAS
  64. Ranik Raaen Wahlstrøm & Florentina Paraschiv & Michael Schürle, 2022. "A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 967-1004, March.
  65. Don H. Kim, 2009. "Challenges in macro-finance modeling," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 519-544.
  66. Malik, Sheheryar & Meldrum, Andrew, 2016. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 85-102.
  67. Garcí­a, Juan Angel & Werner, Thomas, 2010. "Inflation risks and inflation risk premia," Working Paper Series 1162, European Central Bank.
  68. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2010. "Forecasting Government Bond Yields with Large Bayesian VARs," Working Papers 662, Queen Mary University of London, School of Economics and Finance.
  69. Kyle E. Binder & Mohsen Pourahmadi & James W. Mjelde, 2020. "The role of temporal dependence in factor selection and forecasting oil prices," Empirical Economics, Springer, vol. 58(3), pages 1185-1223, March.
  70. Giuseppe Arbia & Michele Di Marcantonio, 2015. "Forecasting Interest Rates Using Geostatistical Techniques," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
  71. Duangnate, Kannika & Mjelde, James W., 2017. "Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals," Energy Economics, Elsevier, vol. 65(C), pages 411-423.
  72. Carlo A. Favero & Arie E. Gozluklu & Haoxi Yang, 2016. "Demographics and the Behavior of Interest Rates," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(4), pages 732-776, November.
  73. Jushan Bai & Kunpeng Li & Lina Lu, 2016. "Estimation and Inference of FAVAR Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 620-641, October.
  74. 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.
  75. Lin-Yee Hin & Nikolai Dokuchaev, 2016. "Short Rate Forecasting Based On The Inference From The Cir Model For Multiple Yield Curve Dynamics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-33, March.
  76. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
  77. Zagaglia, Paolo, 2009. "Forecasting with a DSGE Model of the term Structure of Interest Rates: The Role of the Feedback," Research Papers in Economics 2009:14, Stockholm University, Department of Economics.
  78. Marco Batarce, 2009. "Efectos de las Emisión de Bonos del Banco Central Sobre las Tasas de Interés," Working Papers Central Bank of Chile 551, Central Bank of Chile.
  79. Almeida, Caio & Faria, Adriano, 2014. "Forecasting the Brazilian Term Structure Using Macroeconomic Factors," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 34(1), March.
  80. Carriero, Andrea & Giacomini, Raffaella, 2011. "How useful are no-arbitrage restrictions for forecasting the term structure of interest rates?," Journal of Econometrics, Elsevier, vol. 164(1), pages 21-34, September.
  81. Alain Monfort & Jean-Paul Renne, 2011. "Credit and Liquidity Risks in Euro-area Sovereign Yield Curves," Working Papers 2011-26, Center for Research in Economics and Statistics.
  82. Gaus, Eric & Sinha, Arunima, 2018. "What does the yield curve imply about investor expectations?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 248-265.
  83. Audzeyeva, Alena & Fuertes, Ana-Maria, 2018. "On the predictability of emerging market sovereign credit spreads," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 140-157.
  84. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
  85. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
  86. Kyle E. Binder & James W. Mjelde, 2018. "Projecting impacts of carbon dioxide emission reductions in the US electric power sector: evidence from a data-rich approach," Climatic Change, Springer, vol. 151(2), pages 143-155, November.
  87. Gerhart, Christoph & Lütkebohmert, Eva, 2020. "Empirical analysis and forecasting of multiple yield curves," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 59-78.
  88. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
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