Practical applications of evolutionary computation to financial engineering : robust techniques for forecasting, trading and hedging
Practical Applications of Evolutionary Computation to Financial Engineering presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explain...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 2012. |
| Serier: | Adaptation, Learning, and Optimization
11 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Practical Applications of Evolutionary Computation to Financial Engineering, Texte imprimé, 9783642276477 • Practical Applications of Evolutionary Computation to Financial Engineering, Texte imprimé, 9783642276477 • Practical Applications of Evolutionary Computation to Financial Engineering, Texte imprimé, 9783642276491 • Practical Applications of Evolutionary Computation to Financial Engineering, Texte imprimé, 9783662520222 |
Indholdsfortegnelse:
- Introduction to Genetic Algorithms Advanced topics in Evolutionary Computation Financial Engineering Predicting Financial Data Trend Analysis Trading Rule Generation for Foreign Exchange (FX) Portfolio Optimization