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.
- 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
Often reviewed together
Alpha coefficient4 readings
Often reviewed together
Moving-average crossover5 readings
Often reviewed together
Trendline6 readings
Often reviewed together
Exponential smoothing7 readings
Often reviewed together
Price channel7 readings
Often reviewed together
Bollinger Bands7 readings
Often reviewed together
Correlation analysis8 readings
Often reviewed together
Walk-forward analysis9 readings
Read in the archive24 of 135 readings
1985Beta and alpha as chosen regression parameters1986Constructing a commodity channel index and a regression price channel1988Serial correlation is not an independence test1988Constructing breadth and average trend states1988Least-squares construction of channel trendlines1988Treat a suspected bend as a construction test1989A precious-metal price as a changing intermarket equation1989Evaluating technical-fund open interest and daily volatility1990Constructing dollar baselines from rates, inflation, and residuals1990Two clocks for copper: a factor regime, a regression baseline, and leftover moving-average timing1990Constructing a nominal index price from earnings and a fitted yield1990Constructing a nominal index value from forward earnings and fitted yield1990Buying-share scale with on-balance volume1990Endpoint-pinned price paths are not forecasts1990Constant-dollar regimes, the value line, and nested cycles1990Earnings yield, rate correlation and regression for equity value1990Constructing least-squares polynomial smoothers1991Out-of-sample checks for linear growth fits1991Endpoint growth rates versus linear-regression consistency1991Trend as persistence, not a straight line1991Name the window, then combine leaders1991Time-origin offset and residual-price divergence on a quadratic least-squares fit1991Quadratic trend, residual oscillator, and a secondary cycle calendar1991Earnings-price reliability as a first gate for growth-sleeve construction
This registry entry describes a research method. It is not investment advice and does not make a performance claim.