Results 271 to 280 of about 1,161,301 (335)

Optimal Expected Credit Loss Impairment Rules

SSRN Electronic Journal, 2022
S. Fleer
openaire   +2 more sources

Current Expected Credit Loss (CECL) Model and Analyst Forecasts

SSRN Electronic Journal, 2022
We investigate whether the adoption of the Current Expected Credit Loss (CECL) standard by U.S. banks affects three properties of financial analysts’ loan loss provision forecasts: accuracy, dispersion, and coverage.
Samuel B. Bonsall, Brent Schmidt, Biqin Xie   +2 more
openaire   +2 more sources

Implications of the Current Expected Credit Loss accounting model

Journal of Banking Regulation, 2017
The Financial Accounting Standards Board approved a controversial accounting change in 2016 that impacts how and when US banks account for loan losses. The accounting modification will require the allowance for loan losses to be sufficient to cover all losses projected over the life of loans and leases originated or purchased.
William C. Handorf
openaire   +2 more sources

Does the Current Expected Credit Loss Approach Decrease the Procyclicality of Banks’ Lending?

Social Science Research Network, 2022
Prior research finds that banks reduce loan originations during recessions to mitigate the potential for their regulatory capital to become inadequate.
Jing Chen, Yiwei Dou, Stephen G. Ryan, Youli Zou   +3 more
semanticscholar   +1 more source

Discussion of ‘Moving toward the expected credit loss model under IFRS 9: Capital Transitional Arrangement and bank systematic risk'

Accounting and Business Research, 2022
The change of the loan loss accounting model in International Financial Reporting Standard 9 (IFRS 9) that took place after the financial crisis came as a result of a long standard-setting process in which different views, sometimes contradictory, had to
Araceli Mora
semanticscholar   +1 more source

The Discount Rate Used in the Current Expected Credit Loss Standard Creates Accounting Losses Where There Are No Economic Losses

Journal of Accounting, Auditing and Finance, 2021
The Current Expected Credit Loss (CECL) Financial Accounting Standards Board (FASB) standard that goes into effect for major banks in 2020 contains a serious conceptual error.
J. Ronen
semanticscholar   +1 more source

MODELING LIFETIME EXPECTED CREDIT LOSSES ON BANK LOANS

International Journal of Theoretical and Applied Finance, 2021
The guidelines of various Accounting Standards require every financial institution to measure lifetime expected credit losses (LECLs) on every instrument, and to determine at each reporting date if there has been a significant increase in credit risk since its inception.
openaire   +2 more sources

Expected Credit Loss vs. Credit Value Adjustment: A Comparative Analysis

SSRN Electronic Journal, 2015
The recent publication of the IFRS 9 norms related to collective provisions for non defaulted instruments has settled a new vision to banking book portfolios. In this paper we show that the IFRS 9 provision measured through the Expected Credit Loss (ECL), inspired from a market vision on loan books, is very similar to the Credit Value Adjustment (CVA ...
Vivien Brunel, Stephane Crepey, Monique Jeanblanc   +2 more
openaire   +1 more source

Advanced Risk Consulting Expected Loss Model (ARC ELM): For Current Expected Credit Losses (CECL)

SSRN Electronic Journal, 2017
The ARC ELM is a top-down expected credit loss system that projects the intertemporal effects of both loan default cycles and macroeconomic conditions on credit losses for U.S. banks. The ARC ELM is based on an Ordinary Least Squares (OLS) time series analysis using historical loan loss and macroeconomic data, while, importantly, also maintaining ...
Aaron Lucey, Clifton Chang
openaire   +1 more source

Unraveling the impact of IFRS 9 expected credit loss model in the banking sector: an event study analysis

Journal of Financial Reporting & Accounting
This study aims to draw upon the efficient market hypothesis (EMH) to illuminate the role of the International Financial Reporting Standard (IFRS) in shaping investor perceptions and financial outcomes.
Mohammed Idris, Ahmad Ahmad, Khalil Nimer, Ahmed Hassanein   +3 more
semanticscholar   +1 more source