Machine learning for financial engineering:
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 portfol...
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Imperial College Press
[2012]
Singapore World Scientific |
| Series: | Advances in computer science and engineering: texts
volume 8 |
| Subjects: | |
| Online Access: | FHN01 Volltext |
| 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 |
| Physical Description: | 1 Online-Ressource (ix, 250 Seiten) Illustrationen |
| ISBN: | 9781848168145 |
Staff View
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| discipline | Wirtschaftswissenschaften |
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| id | DE-604.BV044633516 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:42Z |
| institution | BVB |
| isbn | 9781848168145 |
| language | English |
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| physical | 1 Online-Ressource (ix, 250 Seiten) Illustrationen |
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| publishDate | 2012 |
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| publisher | Imperial College Press World Scientific |
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| series2 | Advances in computer science and engineering: texts |
| spelling | Györfi, László Verfasser (DE-588)1023925419 aut Machine learning for financial engineering Laszlo Györfi, György Ottucsak, Harro Walk London Imperial College Press [2012] Singapore World Scientific © 2012 1 Online-Ressource (ix, 250 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in computer science and engineering: texts volume 8 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 Investments / Data processing Financial engineering / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Financial Engineering (DE-588)4208404-0 gnd rswk-swf Financial Engineering (DE-588)4208404-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Ottucsak, György Verfasser aut Walk, Harro 1939- Verfasser (DE-588)103619678X aut Erscheint auch als Druck-Ausgabe 1848168136 Erscheint auch als Druck-Ausgabe 9781848168138 http://www.worldscientific.com/worldscibooks/10.1142/P818#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Györfi, László Ottucsak, György Walk, Harro 1939- Machine learning for financial engineering Investments / Data processing Financial engineering / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Financial Engineering (DE-588)4208404-0 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4208404-0 |
| title | Machine learning for financial engineering |
| title_auth | Machine learning for financial engineering |
| title_exact_search | Machine learning for financial engineering |
| title_full | Machine learning for financial engineering Laszlo Györfi, György Ottucsak, Harro Walk |
| title_fullStr | Machine learning for financial engineering Laszlo Györfi, György Ottucsak, Harro Walk |
| title_full_unstemmed | Machine learning for financial engineering Laszlo Györfi, György Ottucsak, Harro Walk |
| title_short | Machine learning for financial engineering |
| title_sort | machine learning for financial engineering |
| topic | Investments / Data processing Financial engineering / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Financial Engineering (DE-588)4208404-0 gnd |
| topic_facet | Investments / Data processing Financial engineering / Data processing Machine learning Maschinelles Lernen Financial Engineering |
| url | http://www.worldscientific.com/worldscibooks/10.1142/P818#t=toc |
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