Re: [ojAlgo-user] Report A Bug Of ojalgo finace library
Mathematics, linear algebra and optimisation
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From: Anders P. <an...@op...> - 2017-05-14 09:51:22
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I identified the problem and have a fix.
Will check in the code changes in a day or two, and most likely upload a new release within a couple of weeks.
/Anders
> On 8 May 2017, at 14:20, lvz...@gt... wrote:
>
>
> 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
>
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