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Structured Products · Risk & Return Scenarios · Lombard Loans

Advanced
Financial Analytics

for HNW and institutional investors

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Franco Arda, Ph.D.

Franco Arda, Ph.D.

Data Analyst

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Goal:

Assess whether the product aligns with the investor’s volatility outlook.

Purpose:

Estimate barrier touch probability over the product life to improve suitability.

Model:

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

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Goal:

Assess downside risk and upside potential for gold over the next 12 months.

Purpose:

Translate volatility into decision-ready risk metrics (VaR, CVaR) for allocation and sizing.

Model:

Monte Carlo (GBM) simulation with visual sensitivity to volatility, drift, and portfolio size.

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Goal:

Quantify the probability of an LTV breach.

Purpose:

Support smarter LTV setting and proactive advisory conversations.

Model:

Monte Carlo GBM simulation mapping asset price paths to LTV breach probabilities.

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