Contingent Income Auto-Callable Securities — Simulation Report

Worst-of Dow Jones Industrial Average℠ / EURO STOXX 50® / Russell 2000®  |  due October 4, 2029

Issuer: Morgan Stanley Finance LLC (fully guaranteed by Morgan Stanley) · Principal at Risk · Not listed

1. Headline Simulation Results

Based on 10,000 Monte Carlo simulations over the 36-month term (inferred quarterly observation schedule; contingent coupon assumed at the midpoint of the 10.25%–11.25% range = 10.75% p.a.):

Expected Annualized Return
8.92%
Model-implied, per annum
Probability of a Negative Return
4.95%
Share of simulated paths
99% Confidence 1-Year VaR
−17.35%
Annualized tail loss
Headline metric Structured Product
Expected annualized return 8.92%
Expected total return over the holding period 7.15%
Probability of a negative return 4.95%
99% confidence 1-year VaR −17.35%
Expected annualized volatility 5.47%
Expected holding period 13.3 months (median 6 months)
Probability of early autocall 86.0%

The structure produces a high probability of a modest, capped gain, at the cost of a small but severe downside tail. Roughly 4.95% of paths deliver a negative total return, and the loss in the worst 1% of simulations reaches an annualized −17.35% (the security can lose up to its full principal).

2. How the Product Works (in plain terms)

This is a 3-year “worst-of” autocallable note linked to three equity indices: the Dow Jones Industrial Average, the EURO STOXX 50 and the Russell 2000.

Because the payoff is driven by the worst of the three indices, the diversification benefit of holding three markets is removed — the weakest market dictates the outcome.

3. Key Statistics

Metric Structured Product Benchmark (equal-weight basket, total return*)
Expected annualized return 8.92% 18.58%
Expected annualized volatility 5.47% 15.47%
Probability of loss 4.95% 9.41%
99% VaR (1 year) −17.35% −12.58%
Expected total return (holding period) 7.15% 9.92%

* Benchmark = equal-weight basket of the three indices; total return includes an equal-weight dividend yield of 1.60% (DIA 1.38%, IWM 0.90%, FEZ 2.51%). The risk-free rate used is the 1-year average U.S. T-bill/repo rate of 3.70%.

Interpreting the annualized benchmark figure: the product is typically redeemed early and only when all three markets are up, so the benchmark is compared over these same, mostly short and state-dependent windows. Annualizing short positive returns (e.g. a 6-month gain × 2) mechanically inflates the benchmark’s expected annualized number. On a like-for-like total-return basis the gap is smaller (product 7.15% vs basket 9.92%), and the product achieves it with roughly one-third of the volatility.

Scenario probabilities (structured product)

Scenario Probability
Worst-case — negative total return 4.95%
Best-case — annualized return above 10% 79.44%
Outperforms the risk-free rate (3.70%) 92.77%

The maximum possible outcome is a full 12 quarters of coupons plus par = 132.25 index points (+32.25%).

4. Charts

4.1 Simulation outcomes — product vs benchmark

Each point is one simulation; colour = number of years held; dashed line is the 1:1 line. The product’s returns are clustered at a capped ceiling (coupons + par) while outcomes fall sharply once the worst index breaches the 70% barrier.

Simulation outcomes
4.2 Annualized-return histograms (1% bins, stacked by holding period)

Benchmark (equal-weight basket, total return)

Benchmark histogram

Structured product

Product histogram

The product’s distribution is a tall spike near +10.75% (coupons collected and principal returned) with a thin negative tail — the mirror image of the benchmark’s wide, symmetric spread.

4.3 Risk / return profile
Risk-return scatter
4.4 Annualized-return box plot
Box plot
4.5 Scenario probabilities
Scenario probabilities
4.6 Holding-period and coupon-count distribution
Years held Number of coupons

The note is called within the first year in ~70% of simulations (about 53% at the very first call date, month 6). The most common outcome is 2 coupons (≈54.6% of paths).

5. Investment Commentary

Potential merits
Key risks to weigh

Simulated results are model-based and not a forecast. This material is for information purposes only and is not investment advice.