[ojAlgo-user] Report A Bug Of ojalgo finace library
Mathematics, linear algebra and optimisation
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From: <lvz...@gt...> - 2017-05-08 12:32:41
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Hi, I have a problem when calculate best invest group by using markowitzModel in ojalgo with code below(for test); for(int j = 0; j < 100; j ++) { Builder<PrimitiveMatrix> tmpBuilder = PrimitiveMatrix.FACTORY.getBuilder(2, 2); tmpBuilder.add(0, 0, 0.040000); tmpBuilder.add(0, 1, 0.1000); tmpBuilder.add(1, 0, 0.1000); tmpBuilder.add(1, 1, 0.250000); BasicMatrix covariances = tmpBuilder.build(); tmpBuilder = PrimitiveMatrix.FACTORY.getBuilder(2); tmpBuilder.add(0, 0.20000); tmpBuilder.add(1, 0.40000); BasicMatrix expectedExcessReturns = tmpBuilder.build(); MarketEquilibrium equilibrium = new MarketEquilibrium(covariances); MarkowitzModel markowitzModel = new MarkowitzModel(equilibrium, expectedExcessReturns); markowitzModel.setShortingAllowed(false); // markowitzModel.optimiser().validate(true); markowitzModel.setTargetReturn(new BigDecimal(0.2 + (0.002 * j))); for (int i = 0; i < 2; i++) { markowitzModel.setLowerLimit(i, new BigDecimal(0.00000)); markowitzModel.setUpperLimit(i, new BigDecimal(1.00000)); } System.out.println(0.2 + (0.002 * j) + "," + markowitzModel.getReturnVariance() + " , " + markowitzModel.getMeanReturn() + "," + markowitzModel.getWeights()); } when TargetReturn equal to 0.206,Variance equal to 0.04 , weights equal to [1.0, 0.0] when TargetReturn equal to 0.208, Variance equal to 0.25,weights equal to [0.0, 1.0] Below Relationship of TargetReturn And Target Variance(Y-Axis TargetReturn,X-AXis standard deviation) 吕子锋 |