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A Note on the Use of Syndicated Loan Data

Author

Listed:
  • Isabella Müller

    (Halle Institute for Economic Research)

  • Felix Noth

    (Otto-von-Guericke University Magdeburg)

  • Lena Tonzer

    (Vrije Universiteit Amsterdam)

Abstract

Syndicated loan data provided by DealScan is an essential input in banking research. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance seems to depend on the data and sampling choice.

Suggested Citation

  • Isabella Müller & Felix Noth & Lena Tonzer, 2022. "A Note on the Use of Syndicated Loan Data," Tinbergen Institute Discussion Papers 22-064/IV, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20220064
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    More about this item

    Keywords

    Syndicated Lending; DealScan; Scrutiny; Meta-Analysis;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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