Hypothetical design on public data. 16 disclosed peers, Monte Carlo, 100,000 trials, valued as of 2026-09-18.
Ten possible payouts because 16 peers give 17 discrete rank positions. The guardrail moves 8.3% of trials down to 100%: those are the cases where Chipotle beat most peers while its own 3-year TSR was still negative (Chipotle's TSR is negative in 59% of risk-neutral trials).
| Payout | Probability |
|---|---|
| 0% | 30.47% |
| 50% | 6.23% |
| 62.5% | 6.02% |
| 75% | 5.58% |
| 87.5% | 5.31% |
| 100% | 13.29% |
| 125% | 2.59% |
| 150% | 2.76% |
| 175% | 3.25% |
| 200% | 24.50% |
| Input | Value | Source | Note |
|---|---|---|---|
| Grant date / valuation date | 2026-09-18 | assumed | Last date in the price file and the Treasury file |
| Performance period | 3 years, ends 2029-09-18 | specified | plan_terms.md |
| Chipotle close on grant date | $33.43 | measured | prices_split_adjusted.csv, last row |
| Chipotle 20-day start average | $36.57 | measured | Simple average of the 20 closes ending on the grant date |
| Risk-free rate | 4.83% par yield, 4.773% continuous | measured | risk_free.csv, 3-year tenor; conversion to continuous compounding is assumed |
| Chipotle volatility | 35.5% | measured | Daily log returns 2023-09-18 to 2026-09-18, 753 returns, x sqrt(252) |
| Peer volatilities | 18.3% to 45.4% | measured | Same window and method; per-company values below |
| Correlation matrix | 17 x 17, average pairwise 0.289 | measured | Range 0.11 to 0.85; full matrix used via Cholesky |
| Dividend yields | Chipotle 0%, peers 0% to 4.38% | measured | dividend_yields.csv trailing_yield; held constant, reinvested continuously |
| Drift | Risk-neutral: r minus dividend yield | specified | Specified for fair value |
| Payout curve | 0% / 50% / 100% / 200% at <25th / 25th / 50th / 75th+ | specified | Straight-line between points |
| Guardrail | Payout capped at 100% if Chipotle absolute TSR < 0 | specified | plan_terms.md |
| Percentile convention | Peers beaten / 16 | assumed | Same as Excel PERCENTRANK.INC among 17; gives 17 discrete ranks and 10 payout levels |
| Trials | 100,000 | specified | Run as 50,000 antithetic pairs; seed 20260918 |
| Trading days per year | 252 | assumed | 756 steps in the period; one exact step to day 736, then 20 daily steps |
| Settlement value | Chipotle close on the final day | assumed | Not the 20-day average; no dividend equivalents |
| Company | Volatility | Dividend yield | Corr. with CMG | 20-day start avg | Close 2026-09-18 | Close / start avg |
|---|---|---|---|---|---|---|
| CMG Chipotle | 35.5% | 0.00% | $36.57 | $33.43 | 0.914 | |
| ABNB Airbnb | 36.2% | 0.00% | 0.25 | $178.34 | $166.22 | 0.932 |
| BKNG Booking | 30.7% | 0.98% | 0.30 | $189.76 | $167.90 | 0.885 |
| DASH DoorDash | 42.2% | 0.00% | 0.34 | $214.79 | $192.94 | 0.898 |
| DPZ Domino's | 29.1% | 2.62% | 0.30 | $329.91 | $294.20 | 0.892 |
| DRI Darden | 26.1% | 2.92% | 0.32 | $214.47 | $209.28 | 0.976 |
| EBAY eBay | 31.9% | 1.09% | 0.25 | $106.28 | $111.84 | 1.052 |
| EXPE Expedia | 45.0% | 0.66% | 0.23 | $302.39 | $279.35 | 0.924 |
| HLT Hilton | 22.9% | 0.20% | 0.37 | $314.38 | $305.73 | 0.972 |
| LULU lululemon | 45.4% | 0.00% | 0.29 | $109.30 | $98.06 | 0.897 |
| MAR Marriott | 25.8% | 0.83% | 0.35 | $341.48 | $338.92 | 0.992 |
| MCD McDonald's | 18.3% | 3.00% | 0.23 | $258.75 | $248.24 | 0.959 |
| QSR Restaurant Brands | 23.4% | 4.38% | 0.26 | $77.96 | $72.88 | 0.935 |
| SBUX Starbucks | 32.6% | 2.59% | 0.27 | $102.94 | $95.83 | 0.931 |
| UBER Uber | 37.7% | 0.00% | 0.19 | $74.83 | $70.50 | 0.942 |
| ULTA Ulta Beauty | 35.4% | 0.00% | 0.19 | $541.78 | $540.98 | 0.999 |
| YUM Yum! Brands | 21.6% | 2.15% | 0.32 | $148.19 | $137.99 | 0.931 |
Close / start avg below 1.00 means the company begins the period already behind its own TSR starting line. The whole group sold off over the last 20 days, so Chipotle's handicap is mid-pack.
Built 2026-09-19T17:12:38 in 3.7s. Code: 3-outputs/rtsr_montecarlo.py, results: 3-outputs/results.json. Data: 1-data/prices_split_adjusted.csv, dividend_yields.csv, risk_free.csv. Plan: 2-plan/plan_terms.md.