tokenengine.ai
Structured Product Evaluator | info@tokenengine.ai
Based on 10,000 Monte-Carlo simulations of the underlying basket over the product's life:
| Metric | Result |
|---|---|
| Expected annualized return | +18.18% |
| Probability of a negative return | 7.49% |
| 99% confidence VaR (1 year) | −36.64% |
| Expected total return over the realized holding period | +15.99% |
| Expected holding period | 10.81 months |
| Probability of outperforming the risk-free rate | 92.51% |
The product is a yield-enhancement structure: most of the time it simply pays its fixed coupon, but it carries a tail risk of capital loss if the worst-performing stock breaches the 49% barrier and finishes below its initial level. The simulation shows an attractive expected return with a moderate probability of loss, driven by the deep 49% barrier.
| Metric | Structured Product | Underlying Basket | Underlying Basket (incl. dividends) |
|---|---|---|---|
| Expected annualized return | 18.18% | 9.20% | 9.59% |
| Expected annualized volatility | 13.57% | 24.81% | 24.81% |
| Probability of loss | 7.49% | 40.35% | 39.67% |
| 99% VaR (1 year) | −36.64% | −33.47% | −33.07% |
The underlying basket is an equally weighted index of Dell, Microsoft and SanDisk, evaluated over the same holding period as the product in each simulation.
Each point is one simulation. The vertical cluster near +22% (annualized) corresponds to the "coupon paid, par returned" outcomes; the downward tail (below the 1:1 line) captures the barrier-breach losses.
The product's distribution is heavily concentrated at the coupon outcome with a thin loss tail, whereas the underlying distribution is wide and roughly symmetric around a low positive mean.
Figures shown to two decimal places. Simulated metrics are estimates based on a GJR-GARCH Monte-Carlo model and are not guarantees of future performance.