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1996issue C071

Smoothed alpha from paired log-change regression

Two aligned daily close series are restated as log-changes. A nine-observation linear-regression keeps only its intercept, and a 12-period simple moving average turns that intercept into the finished indicator.

  • The build starts from two aligned daily close series that are each restated as log-changes before any regression is run.
  • The unsmoothed reading is the y-intercept of a short linear-regression of one log-change series on the other. Slope and extra statistical output are discarded.
  • The alpha-coefficient is that intercept treated as a raw residual. A later moving-average of those intercepts is a separate step.
  • Editorial reading: keep the intercept choice and the smoothing choice separate when the series is rebuilt.
Entries in this reading3 entries

Aligned closes become log-changes

The build begins with two aligned daily close series, one Treasury bond futures series and one chemical-sector equity-fund series. Each series is converted into a log-change, the natural logarithm of the ratio of consecutive closes. Those log-changes are the observations that enter the regression for each series.

A short regression emits only its intercept

The unsmoothed series is the intercept from a linear-regression of one of those log-change series on the other over a short lookback. Linear-regression here is a short-window fit of one ordered log-change series on the other, used only so its constant term can be read out as a residual.

The worked layout retrieves only that intercept and discards the rest of the regression output. The regression in the worked example is specified to include a constant term and to omit extra statistical output. The lookback uses nine consecutive log-change observations.

The alpha-coefficient is that y-intercept: the constant term isolated from the regression so slope and extra diagnostics are discarded, then treated as the unsmoothed indicator before the averaging step.

A later average finishes the indicator

A moving-average is applied after the intercept has been isolated. The moving-average is a simple average of a fixed number of prior intercept values that turns the raw residual into a smoother indicator series. A 12-period simple moving average of the intercept series is the final smoothing step that produces the indicator.

Nine-day alpha intercept and its 12-day average

The raw nine-day intercept stays near zero through late May, then turns more negative as T-bond log-changes lag the chemical fund. The 12-day average follows that slide and finishes near −0.002 on 14 June 1991. Both series are the alpha and alpha-indicator columns copied from the Excel sidebar table.
The raw nine-day intercept stays near zero through late May, then turns more negative as T-bond log-changes lag the chemical fund. The 12-day average follows that slide and finishes near −0.002 on 14 June 1991. Both series are the alpha and alpha-indicator columns copied from the Excel sidebar table.US Treasury bond futures vs FSCHX · Daily · 1991-05-13T00:00:00.000Z to 1991-06-14T00:00:00.000Z

Each intercept is the y-intercept only from a 9-observation LINEST of T-bond log-changes on FSCHX log-changes. The finished reading is a 12-period simple average of that intercept, so it first appears on 3 June 1991.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
3 of 5 in the Alpha coefficient track
19961-2 pp.Next on Alpha coefficientConstructing linear-regression alpha from a yield gapA two-variable linear regression sets the dependent observation equal to a slope times the independent observation plus an intercept, and that intercept is the fitted value when the independent term is zero.
All readings on this track · 5 readings
  1. 1985Beta and alpha as chosen regression parameters
  2. 1996The Alpha coefficient as a signed Trend filter for treasury bonds
  3. 1996Smoothed alpha from paired log-change regression
  4. 1996Constructing linear-regression alpha from a yield gap
  5. 2001When beta hedging misreads portfolio volatility
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