Cardinal Analytics Credit Risk Monitor

Quantifying broadly syndicated loan credit risk, daily, to help decrease losses and increase portfolio gains Book Demo Start Free Trial
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Case Study

The Problem

Selecting the right loans for your portfolio is hard.

Market Paradox

Loans in the same sector, with similar maturities, coupon, and pricing can behave differently under stress.

Sector Maturity Coupon Pricing
Core Objective

You just want to quantify which are the higher credit risk loans vs lower credit risk loans.

Goal Systematic risk differentiation before capital deployment.
Cardinal Analytics Dashboard

Case Study

Cardinal Analytics Dashboard
The Solution

Quantify credit risk with predictive machine intelligence.

Machine Learning Engine

Cardinal’s machine learning model interrogates historical data to assess how similar a loan is to one that has been downgraded before.

Historical Pattern Matching Downgrade Risk Signal
Daily Scoring & Delivery

Cardinal’s daily end-of-day credit risk score provides probabilities between 0.01% and 50% for issuers of broadly syndicated loans, delivered via a dashboard, data feed and Microsoft Excel Add-in.

0.01% – 50% Risk Range Dashboard Excel Add-In
Portfolio Impact Import your own portfolio to instantly see the risk present in it—differentiating higher credit risk vs lower credit risk loans at a glance.

Case Study

Dashboard Walkthrough

Market Reach & Proof

Extensive coverage across global markets.

>2,000 Issuers Covered

Deep historical dataset and risk scoring active since 2015.

Global Coverage Since 2015
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There’s nothing like this in the market.

MD, Top 5 Buyside Firm
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You flagged companies that weren’t on our radar.

MD, CLO Manager
Validation Trusted by industry-leading asset managers to uncover hidden credit signals.

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