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Risks

ISSN:

2227-9091

Publisher:

MDPI

Disciplines
(Field of Science):

  • economics and finance (Social studies)
  • management and quality studies (Social studies)
  • international relations (Social studies)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 70 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 70 Ministry scored journals list 2024
2023 70 Ministry Scored Journals List
2022 70 Ministry Scored Journals List 2019-2022
2021 70 Ministry Scored Journals List 2019-2022
2020 70 Ministry Scored Journals List 2019-2022
2019 70 Ministry Scored Journals List 2019-2022

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 3.8
Points CiteScore - previous years
Year Points
2023 3.8
2022 3.1
2021 2.2
2020 1.4
2019 0.6
2018 0.2

Impact Factor:

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Filters

total: 8

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Catalog Journals

Year 2024
Year 2022
  • Accounting Quality and Audit Attributes on the Stock Price Crashes in an Emerging Market
    Publication
    • M. Salehi
    • G. Zimon
    • H. Hashim
    • R. Jędrzejczak
    • A. Sadowski

    - Risks - Year 2022

    Full text to download in external service

  • Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
    Publication

    - Risks - Year 2022

    This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...

    Full text to download in external service

  • Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
    Publication

    - Risks - Year 2022

    This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...

  • Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
    Publication

    - Risks - Year 2022

    In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying data. The primary purpose of this study is to review the ROC curve models proposed in the literature, primarily in biostatistics, and to fit them to actual credit-scoring ROC data...

    Full text available to download

Year 2021
Year 2020

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