Computational Intelligence Techniques for Trading and Investment (eBook, ePUB)
Redaktion: Dunis, Christian; Theofilatos, Konstantinos; Sermpinis, Georgios; Karathanasopoulos, Andreas; Likothanassis, Spiros
41,95 €
41,95 €
inkl. MwSt.
Sofort per Download lieferbar
21 °P sammeln
41,95 €
Als Download kaufen
41,95 €
inkl. MwSt.
Sofort per Download lieferbar
21 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
41,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
21 °P sammeln
Computational Intelligence Techniques for Trading and Investment (eBook, ePUB)
Redaktion: Dunis, Christian; Theofilatos, Konstantinos; Sermpinis, Georgios; Karathanasopoulos, Andreas; Likothanassis, Spiros
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment.
- Geräte: eReader
- mit Kopierschutz
- eBook Hilfe
- Größe: 4.05MB
Andere Kunden interessierten sich auch für
- Computational Intelligence Techniques for Trading and Investment (eBook, PDF)41,95 €
- Artificial Intelligence in Forecasting (eBook, ePUB)51,95 €
- Nitin Jaglal UntwalData Analytics for Finance Using Python (eBook, ePUB)46,95 €
- V. PriyaComputational Techniques for Text Summarization based on Cognitive Intelligence (eBook, ePUB)51,95 €
- Computational Intelligence Applications in Cyber Security (eBook, ePUB)51,95 €
- Waymond RodgersArtificial Intelligence in a Throughput Model (eBook, ePUB)71,95 €
- Continuous Auditing with AI in the Public Sector (eBook, ePUB)66,95 €
-
-
-
Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 238
- Erscheinungstermin: 26. März 2014
- Englisch
- ISBN-13: 9781136195105
- Artikelnr.: 40824451
- Verlag: Taylor & Francis
- Seitenzahl: 238
- Erscheinungstermin: 26. März 2014
- Englisch
- ISBN-13: 9781136195105
- Artikelnr.: 40824451
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Christian Dunis is Emeritus Professor of Banking and Finance at Liverpool John Moores University, UK and Joint General Manager of global risk and new products at Horus Partners Wealth Management Group SA, Switzerland. Spiros Likothanassis is Professor and Director at the Pattern Recognition Laboratory in the Department of Computer Engineering and Informatics at the University of Patras, Greece. Andreas Karathanasopoulos is Senior Lecturer in Finance and Risk Management at the University of East London, UK Georgios Sermpinis is Senior Lecturer in Economics at the University of Glasgow, UK. Konstantinos Theofilatos is a Post-Doctoral Researcher in the Department of Computer Engineering and Informatics at the University of Patras, Greece.
Part I: Introduction 1. Computational Intelligence: Recent advances,
perspectives and open problems K. Theofilatos, E. Georgopoulos, S.
Likothanassis and S. Mavroudi 2. Forecasting and trading strategies: A
survey C. Stasinakis and G. Sermpinis Part II: Trading and Investments with
Traditional Computational Intelligence Techniques 3. Hidden Markov Models:
Financial modelling and applications S. Mitra 4. Modelling and Trading
Financial Time-Series Using Kalman Filters and ARMA Modelling C.
Dimitrakopoulos, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis
Part III: Trading and Investments with Artificial Neural Networks 5.
Modelling and Trading the Corn/Ethanol Crush Spread with Neural Networks
C. Dunis, J. Laws, P. Middleton and A. Karathanasopoulos 6. Trading
Decision Support with Historically Consistent Neural Networks J. Von
Mettenheim Part IV: Trading and Investments with Hybrid Evolutionary
Methodologies 7. Modelling and Trading Financial Time-Series Using Adaptive
Evolutionary Neural Networks K. Theofilatos, T. Amorgianiotis, A.
Karathanasopoulos, G. Sermpinis and S. Likothanassis 8. Portfolio
Construction Using Argumentation and Hybrid Evolutionary Forecasting
Algorithms N. Spanoudakis, K. Pendaraki and G. Beligiannis Part V: Trading
and Investments with Advanced Computational Intelligence Modelling
Techniques 9. Forecasting DAX30 Using Support Vector Machine and VDAX R.
Rosillo, J. Giner and D. de la Fuente 10. Ensemble Learning of
High-Dimensional Stock Market Data M. Maragoudakis and D. Serpanos
perspectives and open problems K. Theofilatos, E. Georgopoulos, S.
Likothanassis and S. Mavroudi 2. Forecasting and trading strategies: A
survey C. Stasinakis and G. Sermpinis Part II: Trading and Investments with
Traditional Computational Intelligence Techniques 3. Hidden Markov Models:
Financial modelling and applications S. Mitra 4. Modelling and Trading
Financial Time-Series Using Kalman Filters and ARMA Modelling C.
Dimitrakopoulos, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis
Part III: Trading and Investments with Artificial Neural Networks 5.
Modelling and Trading the Corn/Ethanol Crush Spread with Neural Networks
C. Dunis, J. Laws, P. Middleton and A. Karathanasopoulos 6. Trading
Decision Support with Historically Consistent Neural Networks J. Von
Mettenheim Part IV: Trading and Investments with Hybrid Evolutionary
Methodologies 7. Modelling and Trading Financial Time-Series Using Adaptive
Evolutionary Neural Networks K. Theofilatos, T. Amorgianiotis, A.
Karathanasopoulos, G. Sermpinis and S. Likothanassis 8. Portfolio
Construction Using Argumentation and Hybrid Evolutionary Forecasting
Algorithms N. Spanoudakis, K. Pendaraki and G. Beligiannis Part V: Trading
and Investments with Advanced Computational Intelligence Modelling
Techniques 9. Forecasting DAX30 Using Support Vector Machine and VDAX R.
Rosillo, J. Giner and D. de la Fuente 10. Ensemble Learning of
High-Dimensional Stock Market Data M. Maragoudakis and D. Serpanos
Part I: Introduction 1. Computational Intelligence: Recent advances,
perspectives and open problems K. Theofilatos, E. Georgopoulos, S.
Likothanassis and S. Mavroudi 2. Forecasting and trading strategies: A
survey C. Stasinakis and G. Sermpinis Part II: Trading and Investments with
Traditional Computational Intelligence Techniques 3. Hidden Markov Models:
Financial modelling and applications S. Mitra 4. Modelling and Trading
Financial Time-Series Using Kalman Filters and ARMA Modelling C.
Dimitrakopoulos, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis
Part III: Trading and Investments with Artificial Neural Networks 5.
Modelling and Trading the Corn/Ethanol Crush Spread with Neural Networks
C. Dunis, J. Laws, P. Middleton and A. Karathanasopoulos 6. Trading
Decision Support with Historically Consistent Neural Networks J. Von
Mettenheim Part IV: Trading and Investments with Hybrid Evolutionary
Methodologies 7. Modelling and Trading Financial Time-Series Using Adaptive
Evolutionary Neural Networks K. Theofilatos, T. Amorgianiotis, A.
Karathanasopoulos, G. Sermpinis and S. Likothanassis 8. Portfolio
Construction Using Argumentation and Hybrid Evolutionary Forecasting
Algorithms N. Spanoudakis, K. Pendaraki and G. Beligiannis Part V: Trading
and Investments with Advanced Computational Intelligence Modelling
Techniques 9. Forecasting DAX30 Using Support Vector Machine and VDAX R.
Rosillo, J. Giner and D. de la Fuente 10. Ensemble Learning of
High-Dimensional Stock Market Data M. Maragoudakis and D. Serpanos
perspectives and open problems K. Theofilatos, E. Georgopoulos, S.
Likothanassis and S. Mavroudi 2. Forecasting and trading strategies: A
survey C. Stasinakis and G. Sermpinis Part II: Trading and Investments with
Traditional Computational Intelligence Techniques 3. Hidden Markov Models:
Financial modelling and applications S. Mitra 4. Modelling and Trading
Financial Time-Series Using Kalman Filters and ARMA Modelling C.
Dimitrakopoulos, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis
Part III: Trading and Investments with Artificial Neural Networks 5.
Modelling and Trading the Corn/Ethanol Crush Spread with Neural Networks
C. Dunis, J. Laws, P. Middleton and A. Karathanasopoulos 6. Trading
Decision Support with Historically Consistent Neural Networks J. Von
Mettenheim Part IV: Trading and Investments with Hybrid Evolutionary
Methodologies 7. Modelling and Trading Financial Time-Series Using Adaptive
Evolutionary Neural Networks K. Theofilatos, T. Amorgianiotis, A.
Karathanasopoulos, G. Sermpinis and S. Likothanassis 8. Portfolio
Construction Using Argumentation and Hybrid Evolutionary Forecasting
Algorithms N. Spanoudakis, K. Pendaraki and G. Beligiannis Part V: Trading
and Investments with Advanced Computational Intelligence Modelling
Techniques 9. Forecasting DAX30 Using Support Vector Machine and VDAX R.
Rosillo, J. Giner and D. de la Fuente 10. Ensemble Learning of
High-Dimensional Stock Market Data M. Maragoudakis and D. Serpanos