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A threshold model for the spread

Author

Listed:
  • Hatzinikolaou Dimitris

    (Department of Economics, University of Ioannina University Campus, 45110, Ioannina, Greece)

  • Sarigiannidis Georgios

    (Eikos Co Consulting firm, Napoleon Zerva 28-30, 45332, Ioannina, Greece)

Abstract

Using annual data from two panels, one of 11 Eurozone countries and another of 31 OECD countries, we estimate a two-regime log-linear as well as a nonlinear model for the spread as a function of macroeconomic and quality-of-institutions variables. The two regimes, a high-spread and a low-spread regime, are distinguished by using a threshold, in accordance with the perceived “fair” value of the spread as a reference point. Our results suggest that government-bond spreads are regime-dependent, as most of the regression coefficients of the determinants of the spread are larger (in absolute value) in the high-spread regime than in the low-spread regime. That is, an improvement in the macroeconomic environment (e.g., lower unemployment, lower inflation, lower growth of the debt-to-GDP ratio, less macroeconomic uncertainty, higher growth of real GDP), and/or an improvement in the quality of institutions (e.g., less corruption) reduce the spread facing a country (by enhancing its creditworthiness) to a greater extent in high-spread situations than in low-spread situations. A possible explanation is that the demand for and the supply of loans are inelastic at higher than “fair” interest rates and elastic at lower rates.

Suggested Citation

  • Hatzinikolaou Dimitris & Sarigiannidis Georgios, 2023. "A threshold model for the spread," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(1), pages 67-82, February.
  • Handle: RePEc:bpj:sndecm:v:27:y:2023:i:1:p:67-82:n:7
    DOI: 10.1515/snde-2020-0007
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    References listed on IDEAS

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    1. David Haugh & Patrice Ollivaud & David Turner, 2009. "What Drives Sovereign Risk Premiums?: An Analysis of Recent Evidence from the Euro Area," OECD Economics Department Working Papers 718, OECD Publishing.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    4. Afonso, António & Tovar Jalles, João, 2019. "Quantitative easing and sovereign yield spreads: Euro-area time-varying evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 208-224.
    5. Edwards, Sebastian, 1984. "LDC Foreign Borrowing and Default Risk: An Empirical Investigation, 1976-80," American Economic Review, American Economic Association, vol. 74(4), pages 726-734, September.
    6. Antonio Afonso, 2003. "Understanding the determinants of sovereign debt ratings: Evidence for the two leading agencies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 56-74, March.
    7. Steven P. Cassou & Hedieh Shadmani & Jesús Vázquez, 2017. "Fiscal policy asymmetries and the sustainability of US government debt revisited," Empirical Economics, Springer, vol. 53(3), pages 1193-1215, November.
    8. Jonathan Eaton & Mark Gersovitz, 1981. "Debt with Potential Repudiation: Theoretical and Empirical Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(2), pages 289-309.
    9. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    10. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    11. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
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    More about this item

    Keywords

    macroeconomic risk; spread; threshold;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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