Shortcuts
 
PageMenu- Hauptmenü-
Page content

Kategorienanzeige

MAB

Artificial Intelligence in Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics
Kategorie Beschreibung
036aXA-GB
037beng
077a477198996 Erscheint auch als (Druck-Ausgabe): ‡Artificial intelligence in financial markets
077a477198996 Erscheint auch als (Druck-Ausgabe): ‡Artificial intelligence in financial markets
087q978-1-137-48879-4
100bDunis, Christian L. ¬[Hrsg.]¬
104bMiddleton, Peter W. ¬[Hrsg.]¬
108bKarathanasopolous, Andreas ¬[Hrsg.]¬
112bTheofilatos, Konstantinos ¬[Hrsg.]¬
331 Artificial Intelligence in Financial Markets
335 Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics
410 London
412 Palgrave Macmillan
425 2016
425a2016
433 Online-Ressource (XV, 344 p. 49 illus., 17 illus. in color, online resource)
451bNew Developments in Quantitative Trading and Investment
527 Erscheint auch als (Druck-Ausgabe): ‡Artificial intelligence in financial markets
527 Erscheint auch als (Druck-Ausgabe): ‡Artificial intelligence in financial markets
540aISBN 978-1-137-48880-0
700 |*91-06
700 |91G80
700 |68T05
700 |62M20
700 |62P05
700 |91B84
700 |91G50
700 |91G40
700 |91G10
700 |KFFH
700 |BUS017000
700b|658.15
700c|HG4001-HG4285
700g1270918982 QK 620
750 As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field
753 1. A Review of Applications of Artificial Intelligence in Financial Domain -- SECTION I: Financial Forecasting and Trading -- 2. Trading the FTSE100 Index - ‘Adaptive' Modelling and Optimisation Techniques -- 3. Modelling, Forecasting and Trading the Crack - A Sliding Window Approach to Training Neural Networks -- 4. GEPTrader: A new Standalone Tool for Constructing Trading Strategies with Gene Expression Programming -- SECTION II: ECONOMICS -- 5. Business Intelligence for Decision Making in Economics -- 6. An automated literature analysis on data mining applications to credit risk assessment -- SECTION III: CREDIT RISK ANALYSIS -- 7. Intelligent credit risk decision support: architecture and implementations -- 8. Artificial Intelligence for Islamic Sukuk Rating Predictions -- SECTION IV: PORTFOLIO MANAGEMENT, ANALYSIS AND OPTIMISATION -- 9. Portfolio selection as a multiperiod choice problem under uncertainty: an interation-based approach -- 10. Handling model risk in portfolio selection using a Multi-Objective Genetic Algorithm -- 11. Linear regression versus fuzzy linear regression - does it make a difference in the evaluation of the performance of mutual fund managers?
902s 20919152X Kreditmarkt
902s 209002050 Künstliche Intelligenz
902s 209494611 Portfoliomanagement
902s 20954449X Risikomanagement
902s 210061626 Wertpapierhandel
012 480956685
081 Artificial Intelligence in Financial Markets
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1057/978-1-137-48880-0
Schnellsuche