Natural Computing in Computational Finance : Volume 4
This book follows on from Natural Computing in Computational Finance Volumes I, II and III. As in the previous volumes of this series, the book consists of a series of chapters each of which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the appli...
Sparad:
| Huvudupphovsman: | |
|---|---|
| Övriga upphovsmän: | , , |
| Materialtyp: | Livre numérique |
| Språk: | Anglais |
| Publicerad: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Upplaga: | 1st ed. 2012. |
| Serie: | Studies in Computational Intelligence
380 |
| Ämnen: | |
| Länkar: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmärkning: |
L'impression du document génère 203 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Natural Computing in Computational Finance, Texte imprimé, 9783642233371 • Natural Computing in Computational Finance, Texte imprimé, 9783642233357 • Natural Computing in Computational Finance, Texte imprimé, 9783662519981 • Natural Computing in Computational Finance, Texte imprimé, 9783642233371 • Natural Computing in Computational Finance, Texte imprimé, 9783642233357 • Natural Computing in Computational Finance, Texte imprimé, 9783662519981 |
| LEADER | 04513nam a22004817a 4500 | ||
|---|---|---|---|
| 001 | 950263 | ||
| 008 | 160105q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN190531215 | ||
| 020 | |a 9783642233364 (en ligne) | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Brabazon, Anthony. | |
| 245 | 1 | 0 | |a Natural Computing in Computational Finance : |b Volume 4 |c edited by Anthony Brabazon, Michael O Neill, Dietmar Maringer. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 380 |x 1860-9503 | |
| 500 | |a L'impression du document génère 203 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 1 Natural Computing in Computational Finance (Volume 4): Introduction 2 Calibrating Option Pricing Models with Heuristics 3 A Comparison Between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series 4 A soft computing approach to enhanced indexation 5 Parallel Evolutionary Algorithms for Stock Market Trading Rule Selection on Many-Core Graphics Processors 6 Regime-Switching Recurrent Reinforcement Learning in Automated Trading 7 An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination 8 Tackling Overfitting in Evolutionary-driven Financial Model Induction 9 An Order-Driven Agent-Based Artificial Stock Market to Analyze Liquidity Costs of Market Orders in the Taiwan Stock Market 10 Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book follows on from Natural Computing in Computational Finance Volumes I, II and III. As in the previous volumes of this series, the book consists of a series of chapters each of which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. | ||
| 650 | |a Technologie de l'information | ||
| 650 | |a Intelligence artificielle | ||
| 700 | 1 | |a O'Neill, Michael. |4 edt | |
| 700 | 1 | |a Maringer, Dietmar. |4 edt | |
| 700 | 1 | |a Brabazon, Anthony. |4 edt | |
| 700 | 1 | |a O'Neill, Michael, |d 1975- |4 edt | |
| 700 | 1 | |a Maringer, Dietmar. |4 edt | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783642233371 | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783642233357 | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783662519981 | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783642233371 | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783642233357 | |
| 776 | 0 | |t Natural Computing in Computational Finance |b Texte imprimé |z 9783662519981 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-23336-4 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-Z26J0M7R-B |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748147799 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-23336-4 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751603023 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-23336-4 |z Accès INSA CVL | |
| 997 | |0 950263 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||