Artikel

Banking risks in the asset and liability management system

Banking risk management is considered weak compared to rapid changes in financial markets. In light of the recent global financial crisis, banking risk management has become a significant concern of banking regulators and government agencies. This work aims to build a model for assessing banking risks. The primary study method is economic-mathematical modeling based on the standardized model of the Basel Committee for Operational Risk Management, the modified CAPM model, and the model developed by Shapiro and Cornell for currency risk management. The information base was the financial statements of Bank Credit Agricole (Poland). As a result, an economic-mathematical model is built, which is the optimal combination of operational, currency, and credit risk management models. This model calculates the optimal values of bank balance sheet items, which allows for making the right management decisions. It allowed adjusting the value of the bank profit by 3.6 million US dollars. In conclusion, considering the results of banking risk modeling, the need to build a strategy for the bank's development is determined.

Sprache
Englisch

Erschienen in
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 15 ; Year: 2022 ; Issue: 6 ; Pages: 1-18

Klassifikation
Management
Thema
asset
banking risk
liability
management
model

Ereignis
Geistige Schöpfung
(wer)
Lysiak, Liubov
Masiuk, Iuliia
Chynchyk, Anatolii
Yudina, Olena
Olshanskiy, Oleksandr
Shevchenko, Valentyna
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2022

DOI
doi:10.3390/jrfm15060265
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Lysiak, Liubov
  • Masiuk, Iuliia
  • Chynchyk, Anatolii
  • Yudina, Olena
  • Olshanskiy, Oleksandr
  • Shevchenko, Valentyna
  • MDPI

Entstanden

  • 2022

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