LEADER 06075nam 22007335 450 001 9910153100303321 005 20210310221649.0 010 $a1-137-48880-8 024 7 $a10.1057/978-1-137-48880-0 035 $a(CKB)3710000000960266 035 $a(DE-He213)978-1-137-48880-0 035 $a(MiAaPQ)EBC4746993 035 $a(EXLCZ)993710000000960266 100 $a20161122d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Financial Markets $eCutting Edge Applications for Risk Management, Portfolio Optimization and Economics /$fedited by Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos 205 $a1st ed. 2016. 210 1$aLondon :$cPalgrave Macmillan UK :$cImprint: Palgrave Macmillan,$d2016. 215 $a1 online resource (XV, 344 p. 49 illus., 17 illus. in color.) 225 1 $aNew Developments in Quantitative Trading and Investment 311 $a1-137-48879-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. 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? 330 $aAs technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field. . 410 0$aNew Developments in Quantitative Trading and Investment 606 $aCorporations?Finance 606 $aInvestment banking 606 $aSecurities 606 $aBanks and banking 606 $aRisk management 606 $aEconomics, Mathematical  606 $aArtificial intelligence$xFinancial applications 606 $aCorporate Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/612000 606 $aInvestments and Securities$3https://scigraph.springernature.com/ontologies/product-market-codes/626020 606 $aBanking$3https://scigraph.springernature.com/ontologies/product-market-codes/626010 606 $aRisk Management$3https://scigraph.springernature.com/ontologies/product-market-codes/612040 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aCorporations?Finance. 615 0$aInvestment banking. 615 0$aSecurities. 615 0$aBanks and banking. 615 0$aRisk management. 615 0$aEconomics, Mathematical . 615 0$aArtificial intelligence$xFinancial applications. 615 14$aCorporate Finance. 615 24$aInvestments and Securities. 615 24$aBanking. 615 24$aRisk Management. 615 24$aQuantitative Finance. 615 24$aArtificial Intelligence. 676 $a658.15 702 $aDunis$b Christian L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMiddleton$b Peter W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKarathanasopolous$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTheofilatos$b Konstantinos$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910153100303321 996 $aArtificial Intelligence in Financial Markets$92232956 997 $aUNINA