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German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium

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Schwarzbach, C., Klippstein, A., Tholl, J., Basse, T. German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium. Zeitschrift für die gesamte Versicherungswissenschaft, 112(4), 369-387. https://doi.org/10.3790/zverswiss.2023.1430001
Schwarzbach, Christoph; Klippstein, Anna; Tholl, Johannes and Basse, Tobias "German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium" Zeitschrift für die gesamte Versicherungswissenschaft 112.4, 2023, 369-387. https://doi.org/10.3790/zverswiss.2023.1430001
Schwarzbach, Christoph/Klippstein, Anna/Tholl, Johannes/Basse, Tobias (2023): German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium, in: Zeitschrift für die gesamte Versicherungswissenschaft, vol. 112, iss. 4, 369-387, [online] https://doi.org/10.3790/zverswiss.2023.1430001
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German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium

Schwarzbach, Christoph | Klippstein, Anna | Tholl, Johannes | Basse, Tobias

Zeitschrift für die gesamte Versicherungswissenschaft, Vol. 112 (2023), Iss. 4 : pp. 369–387

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Article Details

Publisher Name
Duncker & Humblot
DOI
https://doi.org/10.3790/zverswiss.2023.1430001
Language
German
Pages
19

Author Details

Christoph Schwarzbach (corresponding author), Europäische Fernhochschule Hamburg, Doberaner Weg 20, 22143 Hamburg, Germany, and Leibniz University Hannover, Königsworther Platz 1, 30167 Hannover, Germany.

Anna Klippstein, Touro University Berlin, Am Rupenhorn 5, 14055 Berlin, Germany

Johannes Tholl, Universität Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany

Tobias Basse, Norddeutsche Landesbank Girozentrale, Friedrichswall 10, 30159 Hannover, Germany, and Touro University Berlin, Am Rupenhorn 5, 14055 Berlin, Germany

References

  1. Aguilar, P./Arce, Ó./Hurtado, S./Martinez-Martin, J./Nuño, G./Thomas, C. (2020): The ECB monetary policy response to the Covid-19 crisis. Banco de Espana Documentos Ocasionales, No. 2026.  Google Scholar
  2. Amiri, A./Ventelou, B. (2012): Granger causality between total expenditure on health and GDP in OECD: Evidence from the Toda-Yamamoto approach. Economics Letters, 116, 541–544.  Google Scholar
  3. Basse, T. (2014): Searching for the EMU core member countries. European Journal of Political Economy, 34, 32–39.  Google Scholar
  4. Basse, T./Friedrich, M./Kleffner, A./Schulenburg, J. M. v. d. (2014): Are interest rates too low? Empirical evidence and implications for German life insurers. Zeitschrift für die gesamte Versicherungswissenschaft, 103, 31–43.  Google Scholar
  5. Basse, T./Kunze, F./Krampen, B./Schwarzbach, C. (2017): German bond markets and US monetary policy. Zeitschrift für die gesamte Versicherungswissenschaft, 106, 265–276.  Google Scholar
  6. Basse, T./Wegener, C./Kunze, F. (2018): Government bond yields in Germany and Spain – empirical evidence from better days. Quantitative Finance, 18, 827–835.  Google Scholar
  7. Beckmann, D./Menkhoff, L./Sawischlewski, K. (2006): Robust lessons about practical early warning systems. Journal of Policy Modeling, 28, 163–193.  Google Scholar
  8. Berdin, E./Gründl, H. (2015): The effects of a low interest rate environment on life insurers. Geneva Papers on Risk and Insurance, 40, 385–415.  Google Scholar
  9. Bergsen, P. (2020): A new political economy for Europe post-COVID-19. European View, 19, 131–137.  Google Scholar
  10. Bierens, H. J. (1997): Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate. Journal of Econometrics, 81, 29–64.  Google Scholar
  11. Blinder, A. S. (2010): Quantitative easing: entrance and exit strategies. Federal Reserve Bank of St. Louis Review, 92, 465–479.  Google Scholar
  12. Breedon, F. (2018): On the transactions costs of UK quantitative easing. Journal of Banking and Finance, 88, 347–356.  Google Scholar
  13. Bulkley, G./Harris, R. D./Nawosah, V. (2011): Revisiting the expectations hypothesis of the term structure of interest rates. Journal of Banking and Finance, 35, 1202–1212.  Google Scholar
  14. Choi, S./Wohar, M. E. (1995): The expectations theory of interest rates: Cointegration and factor decomposition. International Journal of Forecasting, 11, 253–262.  Google Scholar
  15. Cook, T./Hahn, T. K. (1990): Interest rate expectations and the slope of the money market yield curve. Federal Reserve Bank of Richmond Economic Review, 76, 3–26.  Google Scholar
  16. Cukierman, A. (2019): A retrospective on the subprime crisis and its aftermath ten years after Lehman’s collapse. Economic Systems, 43, 100713.  Google Scholar
  17. Doh, T. (2010): The efficacy of large-scale asset purchases at the zero lower bound. Federal Reserve Bank of Kansas City Economic Review, 95, 5–34.  Google Scholar
  18. Engle, R. F./Granger, C. W. (1987): Co-integration and error correction: representation, estimation, and testing. Econometrica, 55, 251–276.  Google Scholar
  19. Engle, R. F./Lilien, D. M./Robins, R. P. (1987): Estimating time varying risk premia in the term structure: The ARCH-M model. Econometrica, 391–407.  Google Scholar
  20. Fassas, A./Papadamou, S./Philippas, D. (2019): Investors’ risk aversion integration and quantitative easing. Review of Behavioral Finance, 12, 170–183.  Google Scholar
  21. Favero, C. A./Mosca, F. (2001): Uncertainty on monetary policy and the expectations model of the term structure of interest rates. Economics Letters, 71(3), 369–375.  Google Scholar
  22. Gil-Alana, L. A./Moreno, A. (2012): Uncovering the US term premium: an alternative route. Journal of Banking and Finance, 36, 1181–1193.  Google Scholar
  23. Gormus, A./Nazlioglu, S./Soytas, U. (2018): High-yield Bond and Energy Markets. Energy Economics, 69, 101–110.  Google Scholar
  24. Granger, C. W. (1969): Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 424–438.  Google Scholar
  25. Granger, C. W. (1980): Testing for causality: a personal viewpoint. Journal of Economic Dynamics and Control, 2, 329–352.  Google Scholar
  26. Granger, C. W. (1988): Causality, cointegration, and control. Journal of Economic Dynamics and Control, 12, 551–559.  Google Scholar
  27. Gruppe, M./Lange, C. (2014): Spain and the European sovereign debt crisis. European Journal of Political Economy, 34, 3–8.  Google Scholar
  28. Gunay, S. (2020): Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes. Research in International Business and Finance, 52, 101189.  Google Scholar
  29. Haas, J./Neely, C. J./Emmons, W. R. (2020): Responses of international central banks to the COVID-19 crisis. Federal Reserve Bank of St. Louis Review, 102, 339–384.  Google Scholar
  30. Hall, A. D./Anderson, H. M./Granger, C. W. (1992): A cointegration analysis of treasury bill yields. Review of Economics and Statistics, 74, 116–126.  Google Scholar
  31. Hendry, D. F./Mizon, G. E. (1999): The pervasiveness of Granger causality in econometrics, in: Engle, R. F./White, H. (eds.), Cointegration, causality, and forecasting. Oxford University Press, Oxford, 102–34.  Google Scholar
  32. Ireland, P. N. (2015): Monetary policy, bond risk premia, and the economy. Journal of Monetary Economics, 76, 124–140.  Google Scholar
  33. Issing, O. (2005): Communication, transparency, accountability: monetary policy in the twenty-first century. Federal Reserve Bank of St. Louis Review, 87, 329–335.  Google Scholar
  34. James, J./Leister, M./Rieger, C. (2017): An empirical method of calculating the term premium. Quantitative Finance, 17, 1783–1793.  Google Scholar
  35. Johansen, S. (1988): Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231–254.  Google Scholar
  36. King, R. G./Kurmann, A. (2002): Expectations and the term structure of interest rates: Evidence and implications. Federal Reserve Bank of Richmond Economic Quarterly, 88, 49–95.  Google Scholar
  37. Kurov, A./Stan, R. (2018): Monetary policy uncertainty and the market reaction to macroeconomic news. Journal of Banking and Finance, 86, 127–142.  Google Scholar
  38. Kuttner, K. N. (2001): Monetary policy surprises and interest rates: Evidence from the Fed funds futures market. Journal of Monetary Economics, 47, 523–544.  Google Scholar
  39. Lemperiere, Y./Deremble, C./Nguyen, T. T./Seager, P./Potters, M./Bouchaud, J. P. (2017): Risk premia: Asymmetric tail risks and excess returns. Quantitative Finance, 17, 1–14.  Google Scholar
  40. Levy, M. D./Plosser, C. I. (2022): The Murky Future of Monetary Policy. Federal Reserve Bank of St. Louis Review, 104, 178–188.  Google Scholar
  41. Lütkepohl, H./Reimers, H. E. (1992): Granger-causality in cointegrated VAR processes The case of the term structure. Economics Letters, 40, 263–268.  Google Scholar
  42. Lyonnet, V./Werner, R. (2012): Lessons from the Bank of England on ‘quantitative easing’ and other ‘unconventional’ monetary policies. International Review of Financial Analysis, 25, 94–105.  Google Scholar
  43. Martin, C./Milas, C. (2012): Quantitative easing: a sceptical survey. Oxford Review of Economic Policy, 28, 750–764.  Google Scholar
  44. Meier, S./Rodriguez Gonzalez, M. (2023): Cointegration of EMU Government Bonds in Times of Financial Crises, COVID-19, and High Inflation – The Importance of Sovereign Debt for the European Insurance Industry. Zeitschrift für die gesamte Versicherungswissenschaft, 112, 181–212.  Google Scholar
  45. Moessner, R./de Haan, J. (2022): Effects of monetary policy announcements on term premia in the euro area during the COVID-19 pandemic. Finance Research Letters, 44, 102055.  Google Scholar
  46. Moschella, M./Pinto, L./Martocchia Diodati, N. (2020): Let’s speak more? How the ECB responds to public contestation. Journal of European Public Policy, 27, 400–418.  Google Scholar
  47. Ortmans, A./Tripier, F. (2021): COVID-induced sovereign risk in the euro area: When did the ECB stop the spread?. European Economic Review, 137, 103809.  Google Scholar
  48. Oxley, L. (1993): Cointegration, causality and export-led growth in Portugal, 1865–1985. Economics Letters, 43, 163–166.  Google Scholar
  49. Phelps, E. S. (1967): Phillips curves, expectations of inflation and optimal unemployment over time. Economica, 34, 254–281.  Google Scholar
  50. Phillips, P. C./Perron, P. (1988): Testing for a unit root in time series regression. Biometrika, 75, 335–346.  Google Scholar
  51. Poole, W. (2005): Understanding the term structure of interest rates. Federal Reserve Bank of St. Louis Review, 87, 589–595.  Google Scholar
  52. Quaglia, L./Verdun, A. (2022): Explaining the response of the ECB to the COVID-19 related economic crisis: Inter-crisis and intra-crisis learning. Journal of European Public Policy, 30, 635–654.  Google Scholar
  53. Rodriguez Gonzalez, M./Basse, T./Tholl, J. (2019): Interest rate differentials and monetary policy in the European monetary union: the case of 10 and 30 year bonds. Zeitschrift für die gesamte Versicherungswissenschaft, 108, 19–42.  Google Scholar
  54. Russell, S. (1992): Understanding the term structure of interest rates: The expectations theory. Federal Reserve Bank of St. Louis Review, 74, 36–50.  Google Scholar
  55. Sibbertsen, P./Wegener, C./Basse, T. (2014): Testing for a break in the persistence in yield spreads of EMU government bonds. Journal of Banking and Finance, 41, 109–118.  Google Scholar
  56. Strohsal, T. (2017): Bond yields and debt supply: new evidence through the lens of a preferred-habitat model. Quantitative Finance, 17, 1509–1522.  Google Scholar
  57. Tallman, E. W./Zaman, S. (2020): Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy. International Journal of Forecasting, 36, 373–398.  Google Scholar
  58. Tesche, T. (2023): Trustee strategies, politicization and de‐delegation: The case of the European Central Bank. Governance, 36, 125–140.  Google Scholar
  59. Tholl, J./Basse, T./Meier, S./Rodriguez Gonzalez, M. (2021): Risk premia and the European government bond market: new empirical evidence and some thoughts from the perspective of the life insurance industry. Zeitschrift für die gesamte Versicherungswissenschaft, 110, 49–78.  Google Scholar
  60. Tsen, W. H. (2006): Granger causality tests among openness to international trade, human capital accumulation and economic growth in China: 1952–1999. International Economic Journal, 20, 285–302.  Google Scholar
  61. Walsh, K./Tan, D. (2008): Monetary policy surprises and the bank bill term premium. Australian Journal of Management, 33, 231–260.  Google Scholar
  62. Williamson, S. D. (2016): Scarce collateral, the term premium, and quantitative easing. Journal of Economic Theory, 164, 136–165.  Google Scholar
  63. Yilmazkuday, H. (2022): COVID-19 and exchange rates: Spillover effects of U.S. monetary policy. Atlantic Economic Journal, 50, 67–84.  Google Scholar
  64. Zapata, H. O./Rambaldi, A. N. (1997): Monte Carlo evidence on cointegration and causation. Oxford Bulletin of Economics and Statistics, 59, 285–298.  Google Scholar
  65. Zervoyianni, A./Dimelis, S./Livada, A. (2023): Economic Sentiment and the Covid-19 Crisis: Evidence from European Countries. Applied Economics, 55, 113–130.  Google Scholar

Abstract

Zusammenfassung

In der Zeit der durch COVID-19 ausgelösten Pandemie lässt sich eine Granger-Kausalität von kurzfristigen Renditen deutscher Staatsanleihen für langfristige Renditen nachweisen. Es existiert zudem eine bidirektionale Granger-Kausalität zwischen den Zinsen der Laufzeitbereiche 2 und 30 Jahre. Dies gilt nicht für die Renditen von Anleihen mit einer Restlaufzeit von 2 und 10 Jahren. Die langfristigen Renditen sind bekanntlich von besonderer Bedeutung für europäische Lebensversicherer. Zur Erklärung dieser Beobachtungen sollte nicht auf Veränderungen des Leitzinsniveaus zurückgegriffen werden, da dieses im Betrachtungszeitraum konstant war. Die unkonventionellen geldpolitischen Maßnahmen der EZB und die Existenz von Risikoprämien könnten bessere Erklärungsansätze liefern.

Table of Contents

Section Title Page Action Price
Christoph Schwarzbach et al.: German Government Bond Yields During the COVID-19 Pandemic: Some Thoughts About Monetary Policy and the Term Premium 369
Abstract 369
Zusammenfassung 370
1. Introduction 370
2. The ECB and the COVID-19 Crisis 372
3. The Expectations Theory of the Term Structure of Interest Rates 375
4. Data and Methodological Issues 376
5. Empirical Analysis 379
6. Some Thoughts About Stability 381
7. Conclusion 382
References 383

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