Package | Description |
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org.drip.portfolioconstruction.allocator | |
org.drip.portfolioconstruction.bayesian |
Modifier and Type | Method and Description |
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static ForwardReverseOptimizationOutput |
ForwardReverseOptimizationOutput.Forward(java.lang.String[] astrAssetID,
double[] adblExpectedAssetExcessReturns,
double[][] aadblAssetExcessReturnsCovariance,
double dblRiskAversion)
Construct an Instance of ForwardReverseOptimizationOutput from a Standard Forward Optimize Operation
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static ForwardReverseOptimizationOutput |
ForwardReverseOptimizationOutput.Reverse(Portfolio pfEquilibrium,
double[][] aadblAssetExcessReturnsCovariance,
double dblRiskAversion)
Construct an Instance of ForwardReverseOptimizationOutput from a Standard Reverse Optimize Operation
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static ForwardReverseOptimizationOutput |
ForwardReverseOptimizationOutput.Standard(Portfolio pfOptimal,
double dblRiskAversion,
double[][] aadblAssetExcessReturnsCovariance,
double[] adblExpectedAssetExcessReturns)
Construct a Standard Instance of ForwardReverseOptimizationOutput
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Modifier and Type | Method and Description |
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ForwardReverseOptimizationOutput |
BlackLittermanOutput.adjustedMetrics()
Retrieve the Adjusted Forward Equilibrium Optimization Metrics
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Constructor and Description |
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BlackLittermanCombinationEngine(ForwardReverseOptimizationOutput frooUnadjusted,
PriorControlSpecification pcs,
ProjectionSpecification ps)
BlackLittermanCombinationEngine Construction
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BlackLittermanCustomConfidenceOutput(ForwardReverseOptimizationOutput frooAdjusted,
double[] adblAllocationAdjustmentTilt,
JointPosteriorMetrics jpm)
BlackLittermanCustomConfidenceOutput Constructor
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BlackLittermanOutput(ForwardReverseOptimizationOutput frooAdjusted,
double[] adblAllocationAdjustmentTilt)
BlackLittermanOutput Constructor
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