Overnight vs Day Returns

Cumulative return paths

Each leg compounds its own simple returns independently across sessions.

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applies to the basket close-to-close path
Overnightclose → next open
Dayopen → close
Close to closeclose → close

Conditional dependence

Each point pairs a session's Close to open (Gap) return with the following trading session's open-to-close return. The association is descriptive, not a forecast.

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Scale by volatility: σ is the selected-period standard deviation
Close to open ("Gap") return vs Next-day open-to-close returnpaired sessions
Conditional distributionbox-and-whisker distributions in nearest 0.1% Close to open (Gap) bins
Joint (basket) conditional expectationone equal-weight basket observation per date · nearest 0.1% Gap bins

Monthly returns

Compounded returns by calendar month for overnight, day, and close-to-close paths. Select a month to inspect daily returns.

Evidence & shape

Per-session means with 95% t-intervals, distribution shape, and where compounded log growth comes from. Intervals are mean ± t·σ/√n — with thousands of sessions they are narrow by construction: tiny means can be statistically real without being economically large.

Overnight − day, paired by sessionmean difference with 95% interval
TickernMean diff95% intervalt
Log-growth attributionΣ log(1+r) share, overnight vs day
SeriesMean± 95%tSkewExcess kurtosis|r−μ|>3σMax DDOvernight share

Over time

Mean per-session return by calendar year, by weekday, and on a rolling 252-session window.

rolling chart: wheel zoom · drag to zoom · double-click reset
Mean return by weekdayper-session mean
Overnightrolling 252-session mean
Dayrolling 252-session mean

Normal reference

Sample quantiles against a fitted normal — straight lines would mean Gaussian returns. Deviations at the ends are the tails.

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OvernightQ–Q vs normal
DayQ–Q vs normal

Summary

Means and medians are per-session returns, not annualized.

Overnight returns span ex-dividend sessions, so dividend drops appear as overnight losses; the decomposition is price-only, not total-return.