1990issue C081-2
Evaluating smoothed secondary counts with a chi-square test
This archive article walks a weekly secondary-offering count through 40 percent exponential smoothing, a precommitted normal-band, and a Yates-corrected chi-square test of later market direction at two horizons.
- The weekly secondary-offering count is treated as an informed-selling-proxy: a high count is mapped to a bearish reading and a low count to a bullish reading.
- The working series is a 40 percent exponential-smoothing of that count, presented as roughly equivalent to a four-week moving average.
- A normal-band two-thirds of a standard deviation from a sample mean of 2.7 isolates swings that were scored against later market direction at six-month and one-year horizons.
- A Yates-corrected chi-square-test at one degree of freedom was reported above 32 for each horizon.
Secondary offerings as a weekly tape statistic
A secondary-offering is a large-block sale placed through an underwriter so the position can be distributed with less obvious pressure on the open-market price. The archive describes that routing as a way to reduce the chance of a sharp decline while the position is placed.
The weekly count of those offerings is treated as an informed-selling-proxy. The working premise is that sizable holders are better informed, so a cluster of secondaries is read as a cautionary tape statistic rather than as ordinary liquidity. A high count is mapped to a bearish reading and a low count is mapped to a bullish reading.
From raw count to a smoothed forecast object
The working series is a 40 percent exponential-smoothing of the ordered weekly count. That decaying-weight average is presented as roughly equivalent to a four-week moving average, and the smoothing constant is described as roughly comparable to a four-week lookback.
A precommitted normal-band
In the stated 10-year sample the mean weekly count was 2.7 and the standard deviation was 2.2. A normal-band was set two-thirds of a standard deviation above and below that mean, a corridor used to separate quiet readings from signal swings. Swings outside the band were treated as directional signals.
Scoring later direction with a chi-square test
Those signals were scored against later market direction over a six-month horizon and over a one-year horizon. Agreement between signal and later direction was assessed with a chi-square-test: a one-degree-of-freedom test with the Yates correction, used to judge whether later market direction lined up with those swings more often than chance would suggest. The statistic was reported above 32 for each horizon.
Chart notes in the sample
Chart notes contrast an elevated-count episode in 1986 with elevated counts from May to August 1987 and with subdued counts after the crash.
All readings on this track · 17 readings
- 1987Testing price-volume agreement after percent reversal filters
- 1988Constructing chi-square tests for two-way price counts
- 1988Building consensus indicators with correlation and the chi-square test
- 1988Test edges against chance, not story
- 1988Constructing an advance-decline divergence oscillator
- 1989Evaluate a contrary put-call premium ratio at a stated horizon
- 1990A weekly resistance-index from hourly volume-per-point
- 1990Testing breadth above moving averages by horizon
- 1990Evaluating member versus odd-lot breadth
- 1990A chi-square test of split frequency histograms across price aggregations
- 1990Evaluating smoothed secondary counts with a chi-square test
- 1991Treat session high and low times as codes, then require a chi-square check
- 1991A signed hourly swing catalog as a next-session chi-square check
- 1992Constructing a chi-square test as a gate for two-way market records
- 1992Percent filters, log point-and-figure, and breadth residuals
- 1997Build a chi-square stationarity screen before you forecast
- 1998Timed breakout rules after a nested-bar contraction