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Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany

Author

Listed:
  • Christoph Wegener

    (Institute of Economics)

  • Tobias Basse

    (Norddeutsche Landesbank Girozentrale
    Touro College Berlin)

  • Philipp Sibbertsen

    (Leibniz Universität Hannover)

  • Duc Khuong Nguyen

    (IPAG Business School)

Abstract

Liquidity risk is the risk that an asset cannot always be sold without causing a fall in its price because of a lack of demand for this asset. Many empirical studies examining liquidity premia have focused on government bonds. In this paper, we specifically investigate the yield differentials between liquid and illiquid German covered bonds by considering the yields of traditional Pfandbrief bonds and Jumbo Pfandbrief bonds with different maturities. In terms of credit risk the spread between the yields of these two types of covered bonds should be zero. Moreover, assuming that the liquidity risk premium is a stationary variable the yields of Pfandbrief bonds and Jumbo Pfandbrief bonds (which seem to be integrated of order one) should be cointegrated. We make use of the methodology proposed in the related field of fractional integrated models to conduct our empirical analysis. Due to the 2008–2009 global financial crisis, it also seems to be appropriate to consider structural change. To the extent that the European Central Bank has started to purchase covered bonds under the crisis pressure, our empirical evidence would have a high relevance for monetary policymakers as far as the liquidity risk is concerned. Here, our results indicate fractionally cointegrated yields before and after the crisis, while the degree of integration of the spread increases strongly during the crisis.

Suggested Citation

  • Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
  • Handle: RePEc:spr:annopr:v:282:y:2019:i:1:d:10.1007_s10479-019-03326-8
    DOI: 10.1007/s10479-019-03326-8
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    3. Xu, Guoquan & Lu, Nuotian & Tong, Yan, 2022. "Greenwashing and credit spread: Evidence from the Chinese green bond market," Finance Research Letters, Elsevier, vol. 48(C).
    4. Nikolas Stege & Christoph Wegener & Tobias Basse & Frederik Kunze, 2021. "Mapping swap rate projections on bond yields considering cointegration: an example for the use of neural networks in stress testing exercises," Annals of Operations Research, Springer, vol. 297(1), pages 309-321, February.

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    More about this item

    Keywords

    Liquidity risk; Covered bonds; Fractional cointegration;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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