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Crash risk

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.

Backtest 2016 to 2025
Large companiesHow many of 100 large stocks crashed
Crash risk lowCrash risk mediumCrash risk high
The result17 against 4 crashes per 100 stocks

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

lowCrash risk low4 in 100
mediumCrash risk medium7 in 100
highCrash risk high17 in 100

Large companies: on average 9 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 riskLarge companiesMid-sized companiesSmaller companies
Crash risk low3.7 in 1009.0 in 10013.6 in 100
Crash risk medium7.3 in 10013.1 in 10020.0 in 100
Crash risk high16.6 in 10022.7 in 10035.6 in 100
Average9.0 in 10014.8 in 10022.8 in 100
Cases11,600104,400286,407
Finer split into ten equal groups
Group (1 = lowest risk)Large companiesMid-sized companiesSmaller companies
12.6 in 1008.5 in 10012.2 in 100
23.7 in 1009.1 in 10013.7 in 100
34.7 in 1009.5 in 10015.0 in 100
46.1 in 10010.9 in 10016.3 in 100
55.0 in 10012.4 in 10018.4 in 100
67.8 in 10013.6 in 10021.2 in 100
710.1 in 10015.5 in 10024.2 in 100
812.2 in 10017.9 in 10028.3 in 100
915.6 in 10020.8 in 10034.6 in 100
1021.9 in 10029.3 in 10043.9 in 100
Cases11,600104,400286,407

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

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