Market Share: Current Expected Credit Loss, 2022-2027, Worldwide
- Gauri Kale
- Sep 8, 2023
- 3 min read
Current Expected Credit Loss solutions are currently in development to align with the new accounting standard mandated by the Financial Accounting Standards Board (FASB). These solutions aim to swiftly calculate estimated future credit losses for various financial instruments such as loans, debt securities, trade receivables, and purchased credit deteriorated (PCD) assets. Previously, the traditional approach focused on incurred losses and marked loans as impaired only when financial institutions (FIs) determined them to be unrecoverable, resulting in expenses recorded in the allowance for loan and lease losses (ALLL).
Furthermore, bad debt calculations were based on the previous year's losses, with the same amount earmarked for potential credit impairment in the following year. FASB's update now requires companies to incorporate predictive data into their bad debt calculations, a task made achievable through the CECL model. This model assists FIs in addressing the delayed recognition of credit losses on all financial assets. It compels organizations to proactively assess potential credit losses and record impairment deductions from their revenues due to these potential losses.
Additionally, the guidelines stipulate the inclusion of performing loans, as they are expected to default due to unforeseeable economic conditions. Consequently, a forward-looking and loss-forecasting CECL model aids organizations in adhering to existing regulations and mitigating risks associated with credit impairments. It's important to note that CECL is not exclusive to financial institutions and applies to all businesses extending credit, including loans, held-to-maturity (HTM) debt securities, trade receivables, and net investments, to maintain compliance with Generally Accepted Accounting Principles (GAAP). The CECL model is also relevant to companies with financial instruments or assets such as contract assets, lease receivables, and financial guarantees.
CECL solutions leverage technologies like artificial intelligence and machine learning to consolidate vast amounts of diverse data, ensuring accurate estimation and prediction of expected losses. In summary, CECL solutions are designed to align with FASB's accounting standards, enabling organizations to proactively manage credit and market risks through data analysis and forecasting.
The study by Quadrant Knowledge Solutions defines CECL solutions as being built in accordance with FASB's new accounting standards for estimating expected credit losses on loans and debt securities. These solutions analyze historical data, current market conditions, and provide reliable forecasts while ensuring compliance, thereby helping organizations mitigate credit and market risks.
Key Questions Addressed in the Study:
Is the market for Current Expected Credit Loss (CECL) solutions for business users experiencing growth? What are the short-term and long-term growth prospects for this market?
What are the primary drivers and constraints influencing the global CECL solutions market for business users?
Which industries are the major end-users of CECL solutions for business users? Which industries offer the most significant growth opportunities during the forecast period?
Which global regions present the most substantial growth opportunities in the CECL solutions market for business users?
What are the various deployment options available for CECL solutions for business users?
Strategic Market Direction:
Leading vendors in this space are offering comprehensive no-code platforms with integrated features such as an app engine, database management, a report builder, and a dashboard builder. These platforms empower citizen developers to create complex enterprise-grade applications with built-in automation, reducing dependence on IT teams and shortening development cycles. Vendors are also facilitating seamless integration with other enterprise systems through Webhooks, external integrations, and app integrations, while ensuring multi-platform accessibility on mobile and tablet devices with offline capabilities.
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