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Research > SPARK Matrix™: Current Expected Credit Loss (CECL), 2022

SPARK Matrix™: Current Expected Credit Loss (CECL), 2022

14.11.2022

Domain:BFSI

Sub Domain:Banking & Payments

Price:$ 5,000

SPARK Matrix™: Current Expected Credit Loss (CECL), 2022

Report Description:

Quadrant Knowledge Solutions’ Current Expected Credit Loss (CECL) market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate as well. This research provides strategic information for technology vendors to better understand the existing market, supporting their growth strategies; and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.

The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. SPARK Matrix includes ranking and positioning of leading Current Expected Credit Loss (CECL) vendors, with a global impact. The SPARK Matrix includes an analysis of vendors, including Abrigo, Adenza, Bloomberg, FICO, Fiserv, Jack Henry & Associates (JHA), MIAC, MORS Software, Moody’s Analytics, Oracle, RiskSpan, SAS, SS&C Technologies, and Wolters Kluwer.

According to Vishal Jagasia, Senior Analyst at Quadrant Knowledge Solutions "A CECL solution automates the complex accounting process and accurately estimates the expected credit losses and forecasts, thereby enabling banks, FIs, lenders, regulatory bodies, and more to implement the CECL methodology as well as meet the regulatory requirements. A robust CECL solution is backed by technologies such as artificial intelligence and machine learning to merge large volumes of disparate data as well as analyze historical data and current conditions to accurately estimate and predict expected losses effectively while ensuring compliance to help organizations mitigate credit and market risk."

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