Position Sizing

Key idea

Position sizing determines how much capital to allocate to each investment opportunity.

A good signal alone is insufficient.

Portfolio performance depends jointly on:

  • signal quality
  • capital allocation
  • diversification
  • risk control

Core question:

Given multiple opportunities, how much should each position contribute?

Position sizing transforms forecasts into deployable portfolios.

Definition

Given:

  • signal vector: $\alpha$
  • portfolio weights: $w$

Position sizing defines:

\[w=f(\alpha)\]

subject to:

\[\sum_i |w_i|\le L\]

where:

  • $w_i$ = portfolio weight
  • $\alpha_i$ = expected return signal
  • $L$ = leverage limit

Different sizing rules imply different portfolio behaviors.

Equal Weight

Simplest allocation:

\[w_i=\frac1N\]

Properties:

  • maximum simplicity
  • diversification by count
  • ignores conviction

Useful as a benchmark.

Score-Based Sizing

Allocate proportionally to signal strength:

\[w_i = \frac{\alpha_i} {\sum_j|\alpha_j|}\]

Interpretation:

  • stronger alpha → larger position
  • weak alpha → smaller position

Common in factor investing.

Volatility-Adjusted Sizing

Scale positions by risk.

\[w_i \propto \frac{\alpha_i}{\sigma_i}\]

where:

  • $\sigma_i$ = asset volatility

Interpretation:

  • equalize risk contribution
  • reduce concentration

Widely used in quantitative portfolios.

Kelly-Based Sizing

Kelly allocation:

\[w_i \propto \frac{\alpha_i}{\sigma_i^2}\]

Interpretation:

  • expected return scales allocation
  • variance penalizes leverage

This maximizes long-run growth under ideal assumptions.

See also:

→ Kelly Criterion

Position Constraints

Production portfolios usually enforce:

\[w_i\in[w_{\min},w_{\max}]\]

Additional controls:

  • leverage limits
  • sector neutrality
  • turnover constraints
  • liquidity constraints
  • drawdown limits

Position sizing therefore becomes an optimization problem.

Relationship to Portfolio Construction

Position sizing sits between:

\[\text{Signal} \rightarrow \text{Sizing} \rightarrow \text{Portfolio} \rightarrow \text{Execution}\]

Examples:

Method Weight Driver
Equal Weight count
Score Weight alpha
Vol Scaling alpha/risk
Kelly alpha/variance
Optimization objective + constraints

Usage in Quantitative Equity

Position sizing appears in:

  • factor portfolios
  • alpha combination
  • portfolio optimization
  • execution scheduling
  • leverage control

Sizing often contributes as much performance improvement as signal generation.