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Default correlation impact on the loan portfolio credit risk measurement for the "green" finance as an example

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  • Henry Penikas

    (Bank of Russia, Russian Federation)

Abstract

Default correlation parameter has a material impact on the loan portfolio credit risk. Moreover, the impact is more complex than that of the default probability itself. Current study shows that the rise in default correlation can simultaneously lead to multi-directional changes in different types of risk-measures or focus on a single risk measure, but at different confidence levels. The cause for such dual impact lies in the often neglected rising impact of the default rate (DR) distribution bimodality. In general, we evidence that rise in default correlation produces a multiplicative effect of the probability of default (PD): risk measure declines for low PDs and rises for high PDs, but changes are non-proportionate for the same changes in default correlation. Similar effects, in particular, may arise when augmenting the proportion of "green" lending. Moreover, when such a trend is associated with the decline in PD for the "green" sector and PD rise for the "brown" one, there is an overall reduction in the loan portfolio credit risk in the long-run. However, it is witnessed only after its rise in the mid-term. The paper is accompanied with the relevant codes. They enables the interested parties to replicate the findings, as well as to derive credit risk parameters for any given DR time series and model a DR distribution for any set of distribution mixture parameters.

Suggested Citation

  • Henry Penikas, 2023. "Default correlation impact on the loan portfolio credit risk measurement for the "green" finance as an example," Bank of Russia Working Paper Series wps121, Bank of Russia.
  • Handle: RePEc:bkr:wpaper:wps121
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    References listed on IDEAS

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    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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