Results 51 to 60 of about 5,495,645 (192)

A Forward-Looking IFRS 9 Methodology, Focussing on the Incorporation of Macroeconomic and Macroprudential Information into Expected Credit Loss Calculation

open access: yesRisks, 2023
The International Financial Reporting Standard (IFRS) 9 relates to the recognition of an entity’s financial asset/liability in its financial statement, and includes an expected credit loss (ECL) framework for recognising impairment. The quantification of
Douw Gerbrand Breed   +6 more
doaj   +1 more source

A decision-theoretic approach for segmental classification

open access: yes, 2013
This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underlying hidden discrete state sequence.
Holmes, Christopher C., Yau, Christopher
core   +1 more source

The Economic Value of Forecasts in Reducing Extreme Total Losses

open access: yesMeteorological Applications
A major aim of weather and other types of environmental forecasting is to provide early warning of extreme hazards that can then be used to take preventative actions to reduce loss.
David B. Stephenson
doaj   +1 more source

A proposed benchmark model using a modularised approach to calculate IFRS 9 expected credit loss

open access: yesCogent Economics & Finance, 2020
The objective of this paper is to develop a methodology to calculate expected credit loss (ECL) using a transparent-modularised approach utilising three components: probability of default (PD), loss given default (LGD) and exposure at default (EAD).
Willem Daniel Schutte   +4 more
doaj   +1 more source

Credit Risk Assessment Considering Variations in Exposure: Application to Commitment Lines [PDF]

open access: yes
Given the worldwide financial market confusion caused by the subprime mortgage problem and the increase in credit line contracts with relaxed covenants, there have been cases in which financial institutions are facing a demand to provide additional ...
Shigeaki Fujiwara
core   +3 more sources

Magnetic Field Dependent Microwave Losses in Superconducting Niobium Microstrip Resonators

open access: yes, 2018
We describe an experimental protocol to characterize magnetic field dependent microwave losses in superconducting niobium microstrip resonators. Our approach provides a unified view that covers two well-known magnetic field dependent loss mechanisms ...
Benningshof, Olaf W. B.   +10 more
core   +1 more source

Advanced Expected Tail Loss Measurement and Quantification for the Moroccan All Shares Index Portfolio

open access: yesMathematics, 2018
In this paper, we have analyzed and tested the Expected Tail Loss (ETL) approach for the Value at Risk (VaR) on the Moroccan stock market portfolio. We have compared the results with the general approaches for the standard VaR, which has been the most ...
Marouane Airouss   +3 more
doaj   +1 more source

Observation of a Degenerate Fermi Gas Trapped by a Bose-Einstein Condensate

open access: yes, 2017
We report on the formation of a stable quantum degenerate mixture of fermionic $^6$Li and bosonic $^{133}$Cs in an optical trap by sympathetic cooling near an interspecies Feshbach resonance. New regimes of the quantum degenerate mixtures are identified.
Chin, Cheng   +3 more
core   +1 more source

Loan Loss Provisioning and Procyclicality: Evidence from an Expected Loss Model [PDF]

open access: yesSSRN Electronic Journal, 2014
Several studies have addressed, with conflicting results, the issue of procyclical effects of loan loss provisions in the past. More recently, the weak performance of incurred loss models in the financial crisis has given rise to a new debate on the sound design of credit risk provisioning schemes, which is reflected in the scheduled implementation of ...
Domikowsky, Christian   +3 more
openaire   +2 more sources

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

open access: yesRisks
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,
Petr Jakubik, Saida Teleu
doaj   +1 more source

Home - About - Disclaimer - Privacy