POportfoliooptimizer
Portfolio Optimization / Mean-Variance

Subset Resampling-Based Minimum Variance Portfolio

Changed on

Compute the asset weights of the subset resampling-based minimum variance portfolio, optionally subject to:

  • Minimum and maximum weights constraints
  • Minimum and maximum group weights constraints
  • Minimum and maximum portfolio exposure constraints

References

post/portfolios/optimization/minimum-variance/subset-resampling-based

Request

  • Base URL
    https://api.portfoliooptimizer.io/v1
  • URL
    https://api.portfoliooptimizer.io/v1/portfolios/optimization/minimum-variance/subset-resampling-based
  • Auth
    API key in header X-API-Key

Request body

assetsinteger required

The number of assets

assetsMeanReturnsnumber[]

assetsMeanReturns[i] is the arithmetic (expected) return of asset i

subsetSizeinteger

The number of assets to include in each subset portfolio; defaults to a value of order the square root of the total number of assets

simulatedPortfoliosinteger

The number of simulated portfolios to compute; only applicable if the generation method for the subset portfolios is random sampling

simulatedPortfoliosGenerationMethod'complete' | 'random'

The method to generate the simulated portfolios

simulatedPortfoliosAggregationMethod'average' | 'median'

The method to aggregate the simulated portfolios

Response

OK

assetsWeightsnumber[] required

assetsWeights[i] is the weight of the asset i in the portfolio, in percentage

Changes