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Navigating distressed & problem loans: Legal & borrower considerations

Abrigo

How financial institutions deal with problem loans Problem loans are a natural outcome of the risks banks and credit unions take when lending, and they should be expected over the long run during the ups and downs of the business cycle. Do not misconstrue; the bank or credit union remains at all times professional.

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CECL Data for Credit Unions: Navigating Uncertainties

Abrigo

How credit unions can manage CECL data challenges As credit unions prepare for the Current Expected Credit Loss standard, they'll uncover several data issues they'll need to address. Takeaway 1 Data is a key consideration for credit unions selecting a CECL methodology. . DOWNLOAD/WATCH. loss history.

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Countdown to CECL: A Timeline for Credit Unions

Abrigo

Preparing for 2023 Credit unions have a 2023 deadline for CECL implementation, leaving limited time to refine their processes. Takeaway 1 "Analysis paralysis" and the pandemic put CECL implementation on the backburner for many credit unions. This timeline will help plan the transition. Get CECL compliant.

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Improve loan decisioning: 5 ways to serve small businesses better

Abrigo

The average bank or credit union takes two to three weeks to process a small business loan, and fintechs take no more than 24 to 48 hours, he said. Using probability of default models and data analytics can help banks identify strong borrowers more efficiently. According to Kirby, speed is the top priority.

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How You Can Finance A Car With No Credit 

CreditStrong for Business

You might choose to get a cosigner, find special financing options, save up a larger downpayment, or try your luck with a credit union. If you miss a payment or make late payments, it can negatively affect your cosigners credit. Defaulting on the loan makes your cosigner responsible for the remainder of the car payments.

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Maximizing CECL data for strategic insights

Abrigo

Making the most of data developed for CECL See how banks, credit unions, and other financial institutions can leverage data developed and used for the CECL model for stress testing and strategic insight. For example, probability of default trend analyses are produced as part of certain methodologies used in creating a CECL calculation.

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How to make better lending decisions with a probability of default model

Abrigo

As technology and data collection improve, banks and credit unions are finding ways to use this information to improve their loan decision making and thus improve their asset quality in the long term. A probability of default model (PDM) is a system for objectively quantifying future credit risk.

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