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Article
Open AccessLearning fused lasso parameters in portfolio selection via neural networks
In recent years, fused lasso models are becoming popular in several fields, such as computer vision, classification and finance. In portfolio selection, they can be used to penalize active positions and portfo...
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Article
Fused Lasso approach in portfolio selection
In this work we present a new model based on a fused Lasso approach for the multi-period portfolio selection problem in a Markowitz framework. In a multi-period setting, the investment period is partitioned in...
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Article
\(l_1\) -Regularization for multi-period portfolio selection
In this work we present a model for the solution of the multi-period portfolio selection problem. The model is based on a time consistent dynamic risk measure. We apply