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Retail lending Edict — Duration Risk & Credit Risk

CFO News

Ashish Goyal, Co-founder & CFO of Fibe, explores the critical decision fund managers face between duration and credit risk in financial management. Balancing these risks is essential for optimal outcomes in diverse economic landscapes.

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Banks Aim AI At Credit Risk, Payments Services

PYMNTS

Of the seemingly inexhaustible uses of artificial intelligence (AI) in the financial sector, its applications around managing credit risk and optimizing payment services are among the most promising. percent) and credit risk underwriting units (33 percent). Decisions, Decisions. percent,” the latest AI Playbook states.

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Why AI’s Early Adopters Are Laser-Focused On Credit Risk And Payments

PYMNTS

These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This vital task is complicated even in normal times due to the multitude of financial risk factors in play at any given time. percent expect these systems to improve credit/portfolio risk.

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How to Keep Cash Flow Strong by Managing Customer Credit Risk

CFO Talks

How to Keep Cash Flow Strong by Managing Customer Credit Risk Imagine your business is buzzing, sales are growing, and orders are coming in strong. This disconnect often comes down to one critical issue: customer credit risk. Here’s a practical guide to understanding and managing customer credit risk effectively.

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Bloomberg To Incorporate Credit Risk Data

PYMNTS

Bloomberg customers will now be able to use the news site's terminal to look at Credit Benchmark 's credit risk data, which comes from risk views of the world's largest financial institutions, according to a press release. Clients will also be able to use the data for an enterprise use case, the release stated.

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NEW REPORT: The Banks’ How-To Guide To Using AI To Manage Credit Risk

PYMNTS

Managing credit risk used to be a reactive process. Waiting until account holders fall behind to take action not only meant that customers’ credit scores would take a hit before their banks were alerted to a problem, but also that banks would lose the revenue from the scheduled payment.

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Using AI To Keep Issuers On The Right Side Of Credit Risk

PYMNTS

Credit Risk. Core use cases that are getting a lot of traction, Dhala said, involve credit risk. Any marginal improvement in terms of modeling or accuracy can result in significant gains because there’s a reduction in credit losses. AI can also help to spot credit risk.