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AVED

Alternative View and Early Detection
for Credit Risk and Opportunities

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High level numbers

Quantifiable Impact

Proven Results for Our Clients

AVED delivers measurable improvements across key performance metrics.

-90%

False Alerts vs. legacy systems

Our proprietary approach reduces noise and improves signal quality

-60%

Time spent on manual workflows

Automating credit surveillance frees analysts for higher-value work

6-12

Month Lead Time

Early detection provides ample time for

portfolio adjustments

Valur proposition and problem statement

Smarter Fixed Income Investing

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Struggle with limited in-house expertise? Outsource your risk assessment and monitoring to quantitative experts.

Specialized Risk Expertise

Bypass market noise and false alerts with our proprietary models and focus on true credit deterioration signals.

True Signals

Uncover mispriced bonds and hidden value in fixed income markets through our proprietary analytics and screening tools.

Opportunity Discovery

Operational efficiency

Reduce manual repetitive quantitative task and automate your processes. Free-up your resources for strategic investment tasks.

Leave outdated and slow systems behind, and benefit from fast, on-cloud, AI-powered futureproof system.

Cloud-based, AI-ready

Risk mitigation

Reduce exposure to deteriorating credits and enhance portfolio resilience with our dynamic monitoring framework.

Detect subtle signals of potential credit events before they become market consensus, giving you a critical edge in decision-making.

Early Warning System

AVED transforms how financial institutions navigate fixed income markets with predictive analytics and AI-driven insights.

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Approach/methodology

Early Warning System

Relying on Criat’s PD 2.0 model, AVED’s EWS considers bond, equity, financial and macroeconomic signals to provide actionable and interpretable investment risk insights. Supplemented with expert-led qualitative adjustments the signals are tailored to capture true and specific credit events ahead of traditional rating agencies and market movements.