15h30 - 15h55
A Simulation and Regression Dynamic Programming Approach to Portfolio Optimization
We consider portfolio optimization with a dynamic programming approach that relies on simulation and regression. Simulations are used to model the stocks returns uncertainty. Regressions are used to approximate the value function. Wealth, an endogenous state variable, requires special care. We provide some preliminary numerical results.
15h55 - 16h20
Performance Evaluation of Bankruptcy Prediction Models: A Multidimensional Framework
Although most studies on the modelling and analysis of corporate bankruptcy data use several performance criteria and measures to assess the performance of competing prediction models, the assessment methodology used so far remains unidimensional in nature, which leads to reporting conflicting results. In this research, we overcome this methodological issue by proposing a multidimensional assessment framework and report on numerical results on UK data.
16h20 - 16h45
Developing an Hybrid Approach for Market Deployment Roadmapping
The paper focuses on the development of market deployment roadmaps. It proposes an hybrid approach. Geo-markets are clustered using self-organizing maps, exploiting their multi-criteria, spatial and visualization capabilities model. Within the generated clusters, an optimization model is used for deciding on the selection and timing of geo-markets deployment. The paper demonstrates the application of the approach to a business design case.