leverage_exposure_constraint {PortfolioAnalytics}

constructor for leverage_exposure_constraint

Description

The leverage_exposure constraint specifies a maximum leverage where leverage is defined as the sum of the absolute value of the weights. Leverage exposure is computed as the sum of the absolute value of the weights, sum(abs(weights)).

Usage

leverage_exposure_constraint(
  type = "leverage_exposure",
  leverage = NULL,
  enabled = TRUE,
  message = FALSE,
  ...
)

Arguments

type

character type of the constraint

leverage

maximum leverage value

enabled

TRUE/FALSE

message

TRUE/FALSE. The default is message=FALSE. Display messages if TRUE.

...

any other passthru parameters to specify diversification constraint an object of class 'diversification_constraint'

Details

This should be used for constructing, for example, 130/30 portfolios or dollar neutral portfolios with 2:1 leverage. For the ROI solvers, this is implemented as a MILP problem and is not supported for problems formulated as a quadratic programming problem. This may change in the future if a MIQP solver is added.

This function is called by add.constraint when type="leverage_exposure" is specified, see add.constraint.

Author(s)

Ross Bennett

See Also

add.constraint

Examples

data(edhec)
ret <- edhec[, 1:4]

pspec <- portfolio.spec(assets=colnames(ret))

pspec <- add.constraint(portfolio=pspec, type="leverage_exposure", leverage=1.6)