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Sovereign risk and corporate cost of borrowing: Evidence from a counterfactual study

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  • Wolski, Marcin

Abstract

We assess the impact of the sovereign risk spill-overs onto corporate cost of borrowing in selected euro area countries. We utilize a novel nonparametric dependence filtering frame- work to remove the effects of sovereign risk in the interest rate pass-through context. The main findings confirm the heterogeneity in sovereign risk spill-overs. We also find divergence in sovereign risk transmission between core and peripheral Member States during financial and sovereign debt crises. We discover that the standard linear models may underestimate the underlying pass-through distortions, suggesting the existence of nonlinear sovereign risk effects.

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  • Wolski, Marcin, 2018. "Sovereign risk and corporate cost of borrowing: Evidence from a counterfactual study," EIB Working Papers 2018/05, European Investment Bank (EIB).
    • Handle: RePEc:zbw:eibwps:201805
    DOI: 10.2867/801038
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    1. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    2. Christoph Rothe, 2012. "Partial Distributional Policy Effects," Econometrica, Econometric Society, vol. 80(5), pages 2269-2301, September.
    3. Zhiguo He & Arvind Krishnamurthy, 2019. "A Macroeconomic Framework for Quantifying Systemic Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(4), pages 1-37, October.
    4. Kitamura, Tomiyuki & Muto, Ichiro & Takei, Ikuo, 2016. "Loan interest rate pass-through and changes after the financial crisis: Japan’s evidence," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 10-30.
    5. Krylova, Elizaveta & Darracq Pariès, Matthieu & Moccero, Diego & Marchini, Claudia, 2014. "The retail bank interest rate pass-through: The case of the euro area during the financial and sovereign debt crisis," Occasional Paper Series 155, European Central Bank.
    6. Apergis, Nicholas & Cooray, Arusha, 2015. "Asymmetric interest rate pass-through in the U.S., the U.K. and Australia: New evidence from selected individual banks," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 155-172.
    7. Vaart,A. W. van der, 2000. "Asymptotic Statistics," Cambridge Books, Cambridge University Press, number 9780521784504.
    8. Qi Li & Juan Lin & Jeffrey S. Racine, 2013. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 57-65, January.
    9. Peter Hall & Michael C. Minnotte, 2002. "High order data sharpening for density estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(1), pages 141-157, January.
    10. M. Jones, 1992. "Estimating densities, quantiles, quantile densities and density quantiles," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 44(4), pages 721-727, December.
    11. Cees Diks & Marcin Wolski, 2016. "Nonlinear Granger Causality: Guidelines for Multivariate Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1333-1351, November.
    12. Li, Qi & Racine, Jeffrey S, 2008. "Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 423-434.
    13. Pierfederico Asdrubali & Simone Signore, 2015. "The Economic Impact of EU Guarantees on Credit to SMEs Evidence from CESEE Countries," European Economy - Discussion Papers 002, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    15. Ivo Arnold & Saskia van Ewijk, 2014. "The impact of sovereign and credit risk on interest rate convergence in the euro area," DNB Working Papers 425, Netherlands Central Bank, Research Department.
    16. Arnold, Ivo J.M. & van Ewijk, Saskia E., 2014. "A state space approach to measuring the impact of sovereign and credit risk on interest rate convergence in the euro area," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 340-357.
    17. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    18. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
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    3. Theobald, Thomas & Tober, Silke, 2020. "Euro area sovereign yield spreads as determinants of private sector borrowing costs," Economic Modelling, Elsevier, vol. 84(C), pages 27-37.

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    More about this item

    Keywords

    counterfactual distributions; nonparametric methods; sovereign risk; cost of borrowing; pass-through;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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