Skip to content

Research

The science behind the signal.

Explore credit-risk modeling, Topological Data Analysis, Market Shape and AI for financial markets. Follow the methods and evidence behind QXFin’s financial risk intelligence.

Research & methodology

Explore how the intelligence works.

Perspectives

From the research desk.

Perspectives

Perspectives2026-04-12

Why "Safe" Investments Blow Up More Often Than the Models Say

A deep-dive into the failure modes of Gaussian default probability models during market stress, and how the q-Gaussian framework captures heavy-tail events more faithfully.

6 min read
Perspectives2026-03-28

Reading the Shape of a Market: An Introduction to Topological Data Analysis

How persistent homology and TDA detect structural fractures in equity market geometry that volatility models systematically miss.

10 min read
Perspectives2026-05-04

The Changing "Shape" of Market Risk

Traditional financial models often miss the "fore-shocks" of a crisis because they assume markets are stable and follow a "normal" pattern. But as any risk manager knows, markets are complex, unpredictable, and rarely follow a straight line.

12 min read
Perspectives2026-02-14

Private Credit Monitoring Without Monthly Statements: A Synthetic-Data Primer

Techniques for maintaining rigorous credit surveillance on data-sparse private entities using synthetic data generation and alternative signals.

10 min read
Perspectives2025-12-15

How AI Research Agents Are Changing the Credit Memo Workflow

From days to minutes: a walkthrough of how autonomous agents source, reconcile, and structure investment-grade credit memos at scale.

8 min read
Perspectives2025-11-08

Network Exposure: The Hidden Risks No Balance Sheet Shows

Why supplier concentration, technology dependencies, and regulatory overlaps are the most underpriced risks in modern credit analysis.

9 min read

Want to collaborate with our research team?

Joint research, validation studies, and Enterprise model design begin with a conversation.