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Pricing

Research method

Linear regression

Linear regression is a canonical archive-taxonomy method; this registry entry defines its inputs, output and use boundary.

Output
Conditional forecast or research filter
Input
Ordered price, volume or breadth observations
Horizon
A defined sampling interval and lookback
Best use
Compare an explicit quantitative baseline with an out-of-sample result.

Registry evidence level: backtested. This is a navigation record, not a performance claim.

  • Input: Ordered price, volume or breadth observations.
  • Output: forecast.
  • Use boundary: Compare an explicit quantitative baseline with an out-of-sample result.
The graph8

How the method is built, and where it has been read

Depends on

Read in the archive24 of 135 readings

1985Beta and alpha as chosen regression parametersPortfolio construction1986Constructing a commodity channel index and a regression price channelTrend and channels1988Serial correlation is not an independence testStatistical tests1988Constructing breadth and average trend statesMarket breadth1988Least-squares construction of channel trendlinesTrend and channels1988Treat a suspected bend as a construction testTrend and channels1989A precious-metal price as a changing intermarket equationIntermarket and spreads1989Evaluating technical-fund open interest and daily volatilityIntermarket and spreads1990Constructing dollar baselines from rates, inflation, and residualsIntermarket and spreads1990Two clocks for copper: a factor regime, a regression baseline, and leftover moving-average timingTime series and forecasting1990Constructing a nominal index price from earnings and a fitted yieldTime series and forecasting1990Constructing a nominal index value from forward earnings and fitted yieldTime series and forecasting1990Buying-share scale with on-balance volumeIndicators and filters1990Endpoint-pinned price paths are not forecastsIndicators and filters1990Constant-dollar regimes, the value line, and nested cyclesSeasonality and regimes1990Earnings yield, rate correlation and regression for equity valueTime series and forecasting1990Constructing least-squares polynomial smoothersIndicators and filters1991Out-of-sample checks for linear growth fitsTime series and forecasting1991Endpoint growth rates versus linear-regression consistencyStatistical tests1991Trend as persistence, not a straight lineTrend and channels1991Name the window, then combine leadersTime series and forecasting1991Time-origin offset and residual-price divergence on a quadratic least-squares fitIndicators and filters1991Quadratic trend, residual oscillator, and a secondary cycle calendarTime series and forecasting1991Earnings-price reliability as a first gate for growth-sleeve constructionPortfolio construction
This registry entry describes a research method. It is not investment advice and does not make a performance claim.