| 期刊全称 | Artificial Intelligence in Financial Markets | | 期刊简称 | Cutting Edge Applica | | 影响因子2023 | Christian L. Dunis,Peter W. Middleton,Konstantinos | | 视频video | | | 学科分类 | New Developments in Quantitative Trading and Investment | | 图书封面 |  | | 影响因子 | .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 credi | | Pindex | Book 2016 |
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发表于 2025-3-21 17:58:54
