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Machine Learning for Financial Engin...
~
Ottucsak, Gyorgy.
Machine Learning for Financial Engineering
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine Learning for Financial Engineering/
Author:
Gyorfi, Laszlo.
other author:
Ottucsak, Gyorgy.
Published:
Singapore :World Scientific, : 2012.,
Description:
1 online resource (261 p.)
Notes:
5.4. Universally Consistent Predictions: Unbounded Y.
Subject:
Financial engineering - Data processing. -
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/P818#t=toc
ISBN:
9781848168145 (electronic bk.)
Machine Learning for Financial Engineering
Gyorfi, Laszlo.
Machine Learning for Financial Engineering
[electronic resource]. - Singapore :World Scientific,2012. - 1 online resource (261 p.) - Advances in Computer Science and Engineering: Texts. - Advances in computer science and engineering.Texts..
5.4. Universally Consistent Predictions: Unbounded Y.
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 eng.
ISBN: 9781848168145 (electronic bk.)Subjects--Topical Terms:
247310
Financial engineering
--Data processing.Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: Q325.5 .M321 2012
Dewey Class. No.: 006.31
Machine Learning for Financial Engineering
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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 eng.
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http://www.worldscientific.com/worldscibooks/10.1142/P818#t=toc
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