Machine Learning For Financial Engineering

✍ Scribed by László Györfi, György Ottucsák, Harro Walk (eds.)

Publisher: Imperial College Press
Year: 2012
Tongue: English
Leaves: 261
Series: Advances in Computer Science and Engineering: Texts, Vol. 08
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;

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