Institutional-grade portfolio risk analysis for investors who need clarity on what is driving risk.
Understand volatility, correlation, stress behavior, and factor exposures in one structured workflow built for decision-making.
What this tool does
Kingfisher Risk Metrics is designed to help users identify not just how much risk a portfolio has, but what is causing it.
Volatility Analysis
Measure historical volatility, expected volatility from options markets, and user-defined blended volatility assumptions.
Stress Testing
Evaluate how portfolio risk changes when volatility, correlation, and covariance assumptions are shocked under stress.
Factor Exposure Analysis
Decompose portfolio behavior across market, rates, credit, inflation, volatility, and growth/value style exposures.
How it works
The workflow is straightforward: input the portfolio, analyze the risk profile, and identify the drivers behind it.
Input Portfolio
Enter tickers and shares, or load a saved portfolio already stored in the app.
Analyze Risk
Review volatility estimates, correlation and covariance matrices, and scenario stress outputs.
Understand Drivers
Use factor exposure analysis and summary interpretation to see what is actually driving portfolio risk.
What the analysis helps you answer
Portfolio Construction Questions
How concentrated is my risk? Is diversification actually working? Which holdings are driving the portfolio most?
Macro and Market Questions
How exposed is the portfolio to market moves, rates, credit conditions, inflation pressures, volatility shocks, and style shifts?
Understand what is driving portfolio risk.
Run your portfolio through a structured risk workflow designed for clear, decision-ready analysis.
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