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AVED

Alternative View and Early Detection for Credit Risk and Opportunities

Quantifiable Impact

Proven Results for Our Clients

AVED delivers measurable improvements across key performance metrics.

False Alerts vs. legacy  systems

-90%

Our proprietary approach reduces noise and improves signal quality

Month Lead Time

Early detection provides ample time forportfolio adjustments

6-12

Time spent on manual workflows

Automating credit surveillance frees analysts for higher-value work

-60%

Smarter Fixed Income Investing

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

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Operational efficiency

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

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Leave outdated and slow systems behind, and benefit from fast, on-cloud, AI-powered futureproof system.

Cloud-based, AI-ready

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Risk mitigation

Reduce exposure to deteriorating credits and enhance portfolio resilience

with our dynamic monitoring framework.

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

Early Warning System

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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

抽象的線條

Approach/methodology

Unimodal feature learning: Extract key features for audio and video separately. Use 2D/3D CNN and optical flow CNN for video, and 1D/2D CNN or RNN for audio, to replace manual features and lay the foundation for fusion. Please provide the text you would like translated.

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Multimodal fusion: Integrating audio and video information, through early/late fusion or cross-modal attention focusing on associations (such as applause corresponding to hand movements), and introducing robust designs to address issues such as missing modalities. Please provide the text you would like translated.

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Temporal modeling: Capturing the temporal dynamics of events using RNN, 3D CNN, TCN or Transformer, and optimizing boundary localization in weakly supervised scenarios by combining multi-instance learning.

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EWS

Early Warning System

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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.

  • Detects signals 6-12 months before rating agencies act

  • True signals considerably reduces false alerts

  • Customizable alert thresholds based on your risk tolerance

  • Integrates with your existing workflow and systems

  • AI-powered risk factor analysis

Our Coverage

we provide a quasi-compete bond issuer coverage across main fixed income indices globally.

波浪抽象背景

Intelligent Bond Selection

<Top-Down Approach>

  • Ideal for new bond market users, providing macro and sector-level insights into credit risk trends, ratings, and spread distributions.

<Screening>

  • Offers advanced filtering with refined spread calculations by maturity, seniority, and liquidity, plus yield curve visualization and historical spread analysis for selected issuers.

<Finding Similar>

  • Identifies comparable issuers or bonds by domicile, industry, rating, and spread, with support for portfolio- or issuer-level searches.

Case study

content

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連接點
Contact Us for a Free Trial

We would love to show you what the AVED platform can do! Request a demo with our solution experts today.

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