Title:
Machine learning for financial engineering
Series:
Advances in computer science and engineering ; 8
Publication Information:
Singapore ; London : World Scientific, 2012
Physical Description:
ix, 250 p. : ill. ; 23 cm.
ISBN:
9781848168138
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010307054 | Q325.5 M334 2012 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
Table of Contents
| Preface | p. v |
| 1 On the History of the Growth-Optimal Portfolio | p. 1 |
| 2 Empirical Log-Optimal Portfolio Selections: A Survey | p. 81 |
| 3 Log-Optimal Portfolio-Selection Strategies with Proportional Transaction Costs | p. 119 |
| 4 Growth-Optimal Portfoho Selection with Short Selling and Leverage | p. 153 |
| 5 Nonparametric Sequential Prediction of Stationary Time Series | p. 179 |
| 6 Empirical Pricing American Put Options | p. 227 |
| Index | p. 249 |
