00000cmm a22000007i 4500 UP-1685594773862447327 Buklod 20220302154244.0 m o u ta 220302s2016 enk u eng d 9781137488800 (eBook) (iLib)UPBAG-00044054840 DLC BAG rda eng GRC-ebook Artificial intelligence in financial markets cutting-edge applications for risk management, portfolio optimization and economics Christian L. Dunis, Peter W. Middleton, Konstantinos Theofilatos, Andreas Karathanasopoulos, editors. London Palgrave Macmillan [2016] 1 online resource (xv, 344 pages) illustrations text rdacontent computer rdamedia online resource rdacarrier New developments in quantitative trading and investment Includes bibliographical references and index. Part I: Introduction to Artificial Intelligence -- Part II: Financial Forecasting and Trading -- Part III: Economics -- Part IV: Credit Risk and Analysis -- Part V:Portfolio Management, Analysis and Optimisation -- Index. Access available through the Open Educational Resources of the University Library. 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. Finance Computer programs. Financial engineering. Artificial intelligence. Electronic books. Dunis, Christian editor. Middleton, Peter W. editor. Theofilatos, Konstantinos editor. Karathanasopoulos, Andreas editor. Available for University of the Philippines Baguio via O. Click here to access https://drive.google.com/file/d/18XtkO-ad6btJvLPScyXOD4eISv--v5ns/view?usp=sharing (viewed 02 March 2022) FO Monograph UPBAG GRC GRC-ebook Electronic Resource