Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48005
Title: Model selection using data mining
Authors: Fernández Rodríguez, Fernando 
Andrada Félix, Julián 
Acosta González, Eduardo 
UNESCO Clasification: 5302 Econometría
Keywords: Datos
Modelos económetricos
Issue Date: 2010
Journal: Data Mining and Management
Abstract: In this chapter, a new simple procedure for selecting econometric models is provided. It is based on a heuristic approach, called genetic algorithms, which are used to explore the universe of models made available by a general unrestricted model. This search process for the correct model is guided only by the Schwarz information criterion, which acts as the loss function of the genetic algorithm in order to rank the models. This procedure shows good performance relative to other alternative methodologies. A specific example in the world of finance, which shows how to select a tracking portfolio of the IBEX35 Spanish stock market index, is provided.
URI: http://hdl.handle.net/10553/48005
ISBN: 9781607412892
Source: Data Mining and Management, p. 159-174
Appears in Collections:Capítulo de libro
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