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Structured Products · Risk & Return Scenarios · Lombard Loans

Advanced Data Analytics

for Investment Professionals

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Franco Arda, Ph.D.

Franco Arda, Ph.D.

Data Analyst

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Goal:

Evaluate whether the product aligns with the investor's volatility outlook by quantifying barrier breach probability.

Analytics:

Monte Carlo simulation with adjustable forward volatility, tracking path-dependent barrier touch-risk.

Software:

Microsoft Power BI - interactive, shareable URL (internal & client facing)

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👉 Live demo (interactive URL)

Goal:

Assess downside risk and upside potential by translating volatility into decision-ready metrics.

Analytics:

Monte Carlo (GBM) simulation with sensitivity to volatility.

Sofware:

Microsoft Power BI - interactive, shareable URL (interal & client facing).

PLACEHOLDER.png

👉 Live demo (interactive URL)

Goal:

Quantify the probability of an LTV breach to support smarter LTV setting.

Analytics:

Monte Carlo (GBM) simulation mapping asset price paths for LTV breach probabilities.

Software:

Microsoft Power BI - interactive, shareable URL (internal & client facing).

PLACEHOLDER.png

👉 Live demo (interactive URL)

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