How well MEQIRI warns
Every morning MEQIRI calculates each stock's crash risk: the danger that its price falls at least 30% within a year, relative to similar-sized companies. Here is how well that held up in the backtest.
The result
Among the 100 largest stocks, more than four times as many crashed with high crash risk as with low: 17 versus 4 in 100 within a year.
In every starting year from 2016 to 2025, more stocks crashed at high risk than at low, depending on the year 2 to 8 times as many.
How many of 100 stocks crashed
How many stocks fell 30% or more within a year from 2016 to 2025, by crash risk. Every stock counts again at every month end. The level compares with companies of similar size: low is the 30% with the lowest risk, high the 30% with the highest.
the 100 largest stocks by market value
Large companies: on average 9 in 100 crashed.
ranks 101 to 1,000 by market value
Mid-sized companies: on average 15 in 100 crashed.
all other stocks above $300M market value
Smaller companies: on average 23 in 100 crashed.
How the number is made
MEQIRI recalculated the score of every stock in the US and Europe over 20 years, using only the statements published on each day. Where a statement has no publication date, an annual report counts only 120 days after the fiscal year end, a quarter after 90. For every month and stock we know how it stood and whether it crashed afterwards. A disclosed calculation learns from this which features went along with crashes more often in the past: the eight score categories, the price change and volatility of the past 12 months, the distance to the 52-week high, company size and whether it is a bank or insurer or belongs to a cyclical sector. For the test above it learned its weights only from data up to 2014 and was tested on the years after. The test is not fully blind: the score formula and the choice of features date from 2026, when the outcome of those years was already known. The number on the stock pages comes from the same calculation, learned from 605,040 cases.
What the number cannot do
It is not a forecast for a single stock and not a guarantee. It says how often stocks with similar features crashed in the past. No calculation predicts sudden market-wide crashes like March 2020, and a large share of the crashes fell in 2020 and 2022. It is measured on month-end closes without dividends. Lows between two month ends do not count, with daily prices there would be more crashes. Companies that no longer exist are missing from the data, such as Silicon Valley Bank or Credit Suisse. This probably understates crashes at high risk most. For some US companies our data provider supplies restated figures for earlier years. Without the affected cases the result barely changes. Among the 100 largest stocks the calculation separates crashes clearly better than the price swings of the last twelve months alone; for smaller stocks the swings alone do about as well.
The backtest figures
Tested at month ends from January 2016 to August 2025 with the same calculation as model a1, but trained only on data up to 2014 for the test. Every stock counts again at every month end. A crash means a month-end close in the following twelve months at least 30% below the starting price, per 100 cases.
| Crash risk | Large companies | Mid-sized companies | Smaller companies |
|---|---|---|---|
| Crash risk low | 3.7 in 100 | 9.0 in 100 | 13.6 in 100 |
| Crash risk medium | 7.3 in 100 | 13.1 in 100 | 20.0 in 100 |
| Crash risk high | 16.6 in 100 | 22.7 in 100 | 35.6 in 100 |
| Average | 9.0 in 100 | 14.8 in 100 | 22.8 in 100 |
| Cases | 11,600 | 104,400 | 286,407 |
Finer split into ten equal groups
| Group (1 = lowest risk) | Large companies | Mid-sized companies | Smaller companies |
|---|---|---|---|
| 1 | 2.6 in 100 | 8.5 in 100 | 12.2 in 100 |
| 2 | 3.7 in 100 | 9.1 in 100 | 13.7 in 100 |
| 3 | 4.7 in 100 | 9.5 in 100 | 15.0 in 100 |
| 4 | 6.1 in 100 | 10.9 in 100 | 16.3 in 100 |
| 5 | 5.0 in 100 | 12.4 in 100 | 18.4 in 100 |
| 6 | 7.8 in 100 | 13.6 in 100 | 21.2 in 100 |
| 7 | 10.1 in 100 | 15.5 in 100 | 24.2 in 100 |
| 8 | 12.2 in 100 | 17.9 in 100 | 28.3 in 100 |
| 9 | 15.6 in 100 | 20.8 in 100 | 34.6 in 100 |
| 10 | 21.9 in 100 | 29.3 in 100 | 43.9 in 100 |
| Cases | 11,600 | 104,400 | 286,407 |
How to cite this analysis
MEQIRI (2026): Backtest of per-stock crash risk, model a1, tested 2016 to 2025. https://meqiri.com/en/crash-risk
