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Improving Credit Risk Assessment in Uncertain Times: Insights from IFRS 9

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F25%3A10510982" target="_blank" >RIV/00216208:11230/25:10510982 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=OOu1H4svF8" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=OOu1H4svF8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/risks13020038" target="_blank" >10.3390/risks13020038</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving Credit Risk Assessment in Uncertain Times: Insights from IFRS 9

  • Original language description

    This study highlights the superior performance of Bayesian Model Averaging (BMA) in credit risk modeling under IFRS 9, particularly during economic uncertainty, such as the COVID-19 pandemic. Using granular bank-level data from Malta, spanning 2017-2023, the analysis integrates macroeconomic scenarios and sector-specific transition matrices to assess credit risk dynamics. Key findings demonstrate BMA&apos;s ability to outperform Single-Equation Models (SEM) in predictive accuracy, robustness, and adaptability. The results emphasize BMA&apos;s resilience to structural economic changes, making it a critical tool for regulatory stress testing and provisioning in small open economies highly exposed to external shocks. This work underscores the importance of forward-looking, flexible frameworks for credit risk management and policy decisions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GA23-05777S" target="_blank" >GA23-05777S: New challenges in macroprudential policies for the European insurance sector</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Risks

  • ISSN

    2227-9091

  • e-ISSN

    2227-9091

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    20

  • Pages from-to

    38

  • UT code for WoS article

    001430732200001

  • EID of the result in the Scopus database

    2-s2.0-85219176155