Pairwise correlation of daily returns, six large caps, Oct 2025 to Sep 2026
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-06, from Stock Correlation Matrix in One SQL Query.
| pair | return_corr |
|---|---|
| KO / PG | 0.524 |
| MSFT / NVDA | 0.249 |
| AAPL / PG | 0.174 |
| AAPL / KO | 0.144 |
| AAPL / MSFT | 0.135 |
| KO / XOM | 0.13 |
| AAPL / NVDA | 0.093 |
| PG / XOM | -0.042 |
| AAPL / XOM | -0.092 |
| KO / MSFT | -0.1 |
| MSFT / XOM | -0.128 |
| MSFT / PG | -0.129 |
| NVDA / XOM | -0.198 |
| NVDA / PG | -0.229 |
| KO / NVDA | -0.292 |
- Rows × columns
- 15 × 2
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
pair |
text | 15 distinct values (AAPL / KO, AAPL / MSFT, AAPL / NVDA…) | |
return_corr |
number | -0.292 to 0.524 |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
daily AS
(
SELECT
ticker,
date,
toFloat64(close) AS px,
lagInFrame(toFloat64(close), 1) OVER (
PARTITION BY ticker ORDER BY date
ROWS BETWEEN 1 PRECEDING AND CURRENT ROW
) AS prev_px
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'XOM', 'KO', 'PG')
AND date >= '2025-10-01'
AND date < '2026-10-01'
),
rets AS
(
SELECT
ticker,
date,
px / prev_px - 1 AS ret
FROM daily
WHERE prev_px > 0
)
SELECT
concat(a.ticker, ' / ', b.ticker) AS pair,
round(corr(a.ret, b.ret), 3) AS return_corr
FROM rets AS a
INNER JOIN rets AS b ON a.date = b.date
WHERE a.ticker < b.ticker
GROUP BY pair
ORDER BY return_corr DESC
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