Results 21 to 30 of about 39,407 (293)

Assessing the impact of IFRS 9’s Expected Credit Loss model on capital allocation in Jordanian banks [PDF]

open access: yesBanks and Bank Systems
This study investigates the empirical effects of implementing the Expected Credit Loss (ECL) model under IFRS 9 on capital budgeting decisions within the Jordanian banking sector.
Mohammad Fawzi Shubita   +4 more
doaj   +1 more source

Innovation of impairment loss allowance model of Indonesian financial accounting standards 71 [PDF]

open access: yesJournal of Asian Business and Economic Studies, 2020
Purpose – This study aims to develop a high-quality impairment loss allowance model in conformity with Indonesian Financial Accounting Standards 71 (PSAK 71) that has significant contribution to national interests and the banking industry.
Sugiarto Sugiarto, Suroso Suroso
doaj   +1 more source

Loan level loss given default (LGD) study of Indian banks

open access: yesIIMB Management Review, 2022
Loss given default (LGD) is a critical element in estimating expected as well as unexpected credit losses in banking business. This article investigates written-off history of Indian banks and provides estimates of LGD on loans across sectors, loan ...
Arindam Bandyopadhyay
doaj   +1 more source

Expected credit loss modeling

open access: yesMohyla Mathematical Journal
У цiй статтi запропоновано метод моделювання ймовiрностi дефолту, описано статистичну оцiнку моделi та представлено модель алгоритму програмної реалiзацiї. Алгоритм автоматично обирає з групи регресiйних моделей, де моделями є як лiнiйна регресiя, так i рiзнi модифiкацiї напiвлогарифмiчних моделей та лаговi моделi для макрофакторiв Xi,t,Xi,t-1, ...,Xi ...
Дрiнь, Свiтлана Сергiївна   +1 more
openaire   +3 more sources

Modelo para la estimación del deterioro por riesgo de crédito

open access: yesSuma de Negocios, 2020
El artículo desarrolla el modelo de estimación de pérdida esperada como soporte al Sistema de Administración del Riesgo de Crédito para una entidad de economía solidaria.
Iván Mauricio Bermúdez Vera   +2 more
doaj   +1 more source

Impact of COVID-19 on the Robustness of the Probability of Default Estimation Model

open access: yesMathematics, 2021
Probability of default (PD) estimation is essential to the calculation of expected credit loss under the Basel III framework and the International Financial Reporting Standard 9.
Ming-Chin Hung   +2 more
doaj   +1 more source

Bank loans recovery rate in commercial banks:A case study of non-financial corporations [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019
The empirical literature on credit risk is mainly based on modelling the probability of default, omitting the modelling of the loss given default. This paper is aimed to predict recovery rates on the rarely applied nonparametric method of Bayesian Model ...
Natalia Nehrebecka
doaj   +1 more source

Credit Scoring – General Approach in the IFRS 9 Context

open access: yesAudit Financiar, 2021
With the coming into force of the standard IFRS 9 – Financial Instruments, in January 2018, financial institutions passed from an incurred loss model to a forward-looking model for the computation of impairment losses.
doaj   +1 more source

IFRS 9 Transition Effect on Financial Stability of Kosovo Commercial Banks

open access: yesPrizren Social Science Journal, 2021
From January 1, 2018, most of the commercial banks in Kosovo adopted IFRS 9. The new standard introduces the expected credit loss model to allow for timely recognition of credit losses, estimated not only on the actual credit loss but also on forward ...
Besmir ÇOLLAKU   +2 more
doaj   +1 more source

Recent Regulation in Credit Risk Management: A Statistical Framework

open access: yesRisks, 2019
A recently introduced accounting standard, namely the International Financial Reporting Standard 9, requires banks to build provisions based on forward-looking expected loss models.
Logan Ewanchuk, Christoph Frei
doaj   +1 more source

Home - About - Disclaimer - Privacy