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The volatility risk premium by option tenor, each matched to its own realized window

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 2026-10-16, from The Volatility Risk Premium, Measured.

as of table 4×5read in context →
The volatility risk premium by option tenor, each matched to its own realized window — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tenorimplied_vol_pctrealized_vol_pctpremium_pctpositive_share_pct
07-14 days17.315.052.2476.2
15-30 days17.0515.481.5872.6
31-60 days16.8915.821.0772.9
61-120 days17.3716.081.374.3
Rows × columns
4 × 5
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for The volatility risk premium by option tenor, each matched to its own realized window, derived from the stored result.
ColumnTypeRangeNotes
tenor text 4 distinct values (07-14 days, 15-30 days, 31-60 days…)
implied_vol_pct number 16.89 to 17.37 percent
realized_vol_pct number 15.05 to 16.08 percent
premium_pct number 1.07 to 2.24 percent
positive_share_pct number 72.6 to 76.2 percent

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
closes AS
(
    SELECT
        date,
        toFloat64(any(close)) AS px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2021-06-01'
    GROUP BY date
),
daily_returns AS
(
    SELECT
        date,
        pow(log(px / lagInFrame(px) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)), 2) AS r2
    FROM closes
),
forward_rv AS
(
    SELECT
        date,
        100 * sqrt(252 * avg(r2) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 7 FOLLOWING))  AS rv_07_pct,
        100 * sqrt(252 * avg(r2) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 15 FOLLOWING)) AS rv_15_pct,
        100 * sqrt(252 * avg(r2) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 31 FOLLOWING)) AS rv_31_pct,
        100 * sqrt(252 * avg(r2) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 62 FOLLOWING)) AS rv_62_pct,
        count(r2) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 62 FOLLOWING)                 AS sessions_ahead
    FROM daily_returns
    WHERE isFinite(r2)
),
by_day AS
(
    SELECT
        g.date AS date,
        multiIf(g.days_to_expiry <= 14, '07-14 days',
                g.days_to_expiry <= 30, '15-30 days',
                g.days_to_expiry <= 60, '31-60 days',
                                        '61-120 days') AS tenor,
        avg(100 * toFloat64(g.implied_volatility))      AS iv_pct,
        any(multiIf(g.days_to_expiry <= 14, f.rv_07_pct,
                    g.days_to_expiry <= 30, f.rv_15_pct,
                    g.days_to_expiry <= 60, f.rv_31_pct,
                                            f.rv_62_pct)) AS rv_pct
    FROM global_markets.options_greeks AS g
    INNER JOIN forward_rv AS f ON f.date = g.date
    WHERE g.underlying_symbol = 'SPY'
      AND g.iv_converged = 1
      AND g.volume > 0
      AND g.days_to_expiry BETWEEN 7 AND 120
      AND abs(toFloat64(g.strike_price) / toFloat64(g.underlying_close) - 1) < 0.05
      AND g.date >= '2021-08-01'
      AND f.sessions_ahead = 62
    GROUP BY date, tenor
    HAVING count() >= 5
)
SELECT
    tenor,
    round(avg(iv_pct), 2)                              AS implied_vol_pct,
    round(avg(rv_pct), 2)                              AS realized_vol_pct,
    round(avg(iv_pct - rv_pct), 2)                     AS premium_pct,
    round(100 * countIf(iv_pct > rv_pct) / count(), 1) AS positive_share_pct
FROM by_day
GROUP BY tenor
ORDER BY tenor
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