Remove Credit Risk Remove Leverage Remove Profit and Loss
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Using AI To Keep Issuers On The Right Side Of Credit Risk

PYMNTS

As you move along, there are other customers who want to actually develop a business case for leveraging AI. … Then on the other end of the spectrum, you have customers who are already using AI and are looking to leverage and add the state-of-the-art AI technology to make continuous improvements.”. Credit Risk.

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Risk Without Reward? How Savvy CFOs Evaluate Investment Risks 

CFO Talks

Key Types of Investment Risks CFOs Must Watch: Market Risk: The value of your investment can fluctuate due to changes in interest rates, exchange rates, or stock market volatility. Credit Risk: Will your counterparty honour their commitments? Liquidity Risk: How easily can you convert your investment into cash?

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Navigating IFRS, Key Updates and Changes

CFO Talks

This change significantly impacts financial metrics such as leverage ratios and EBITDA. IFRS 9 Financial Instruments: Managing Expected Credit Losses IFRS 9 introduced the concept of expected credit losses (ECL), which means companies must recognise potential credit losses earlier, based on a forward-looking model.

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How Credit Managers Can Become a Hero to Sales

Trade Credit & Liquidity Management

This has increased reliance, by both the seller and the buyer, on trade credit terms for the working capital needed to operate their businesses successfully. A company’s ability to extend reasonable credit terms to its customers and collect what is owed promptly has had an increasing impact on revenue and profit.

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Top 8 AI Uses in Finance Embraced by FP&A Leaders

The Finance Weekly

Allegedly, their AI-driven efforts have saved them from potential fraud losses exceeding a billion dollars. Risk and Expenses Management AI-driven , tools for risk management empower FP&A leaders to evaluate and address risks more efficiently.

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Transcript: Kristen Bitterly Michell

Barry Ritholtz

And so, with this gave me exposure to everything from investment banking to retail, looking at like checking account campaigns, like how do you get more assets in the door to credit risk. RITHOLTZ: … which people tend to ignore when things are pretty — let’s say, in 2007, a lot of people aren’t thinking about counterparty risk.

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Transcript: Sean Dobson, Amherst Holdings

Barry Ritholtz

And up until that moment in time, we didn’t spend a lot of time on credit risk in mortgages. We didn’t really have to model credit risk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the credit risk.