Remove Compliance Remove Credit Risk Remove Leverage
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The Innovators 2025: North America

Global Finance

This groundbreaking transaction effectively enabled borrowers to leverage Bitcoin as collateral for loans. By integrating ownership records, compliance features, document management, and notifications directly on-ledger, it eliminates the need for off-chain data management, thereby reducing operational risk.

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Are Commercial Credit Bureau Reports Enough?

Trade Credit & Liquidity Management

In this data-driven economy, risk assessment demands more than simply evaluating whether a customer will pay their bills. To truly understand and manage credit risk today, modern companies must look beyond the basics and leverage new technologies, alternative data, and broader information sources.

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Modernising Days Sales Outstanding (DSO) for 2025

Future CFO

Credit risk assessment and adaptive sales terms In managing DSO, assessing credit risk accurately is paramount. Tang explains that credit risk assessments that finance teams employ should be capable of evaluating customer creditworthiness.

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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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Prelios – Pricing Press Release

Reval

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Today In B2B: ERPs Broaden B2B Payments Capabilities; Bloomberg Broadens Credit Risk Data Pool

PYMNTS

Today in B2B, Bloomberg broadens its credit risk data pool, and two ERP solutions secure B2B payments integrations. Bloomberg To Incorporate Credit Risk Data. The release stated firms have more often been looking for data to validate their own internal counterparty and credit risk assessment.

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Using Predictive Analytics in Risk Management

CFO Talks

Start by leveraging data from your accounting systems and working with your finance team to create simple forecasting models. Use this data to develop predictive models that highlight potential risks in the supply chain before they happen.