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§3.10Mean reversion

Mean-reversion – weighted regression

A variant of §3.9 Mean-reversion – single cluster

A wider form of the group mean-reversion trade. Regress stock returns on risk factors (industry groups and other characteristics), weighting calmer stocks more, and bet against the leftover. This makes positions neutral to every factor, not only one group.

Open in the builderAs a long-only proxy; see how ARCANE uses it.

Asset class
Stocks
Held for
Days
Data
ARCANE has part of the data
Symphony
Builds as a long-only proxy

The rule

Signal
The part of each stock's return left over after a weighted regression on industry and other risk-factor exposures.
Entry and exit
Rebalance often (daily to weekly); bets shrink as leftovers fade.
Sizing
Dollar position proportional to the negative of the weighted leftover; weights per stock often the inverse of its variance; book nets to zero.

How it fails

  • Factor model choice drives results
  • Short leg needed
  • High turnover
  • Estimation noise with many stocks

Data it needs

  • daily prices
  • industry classification
  • risk-factor exposures

Prices exist; industry tables and factor exposures for stocks are not in ARCANE's data.

How ARCANE uses it

A Call that a stock lags its sector once market and sector moves are removed could use this framing, with the factor list supplied by hand.

Builds as a long-only proxy. Hold the laggard of two sector ETFs over a window; the regression, many-stock universe and short leg are lost.

Source: Kakushadze and Serur (2018), 151 Trading Strategies, §3.10, p. 50 of the SSRN version. Described in our words. Mean reversion is ARCANE’s filing, not the book’s.

Hypothetical backtest; not investment advice; paper trading only.Past results, real or simulated, do not predict future ones. ARCANE places no live orders from this page.