This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market’s past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment.The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
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Langue Anglais ● Format PDF ● Pages 260 ● ISBN 9781848168145 ● Taille du fichier 2.6 MB ● Éditeur Laszlo Gyorfi & Gyorgy Ottucsak ● Maison d’édition World Scientific Publishing Company ● Lieu Singapore ● Pays SG ● Publié 2012 ● Téléchargeable 24 mois ● Devise EUR ● ID 2713114 ● Protection contre la copie Adobe DRM
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