Artificial intelligence in financial markets: cutting edge applications for risk management, portfolio optimization and economics

Astechnology advancement has increased, so to have computational applications forforecasting, modelling and trading financial markets and information, andpractitioners are finding ever more complex solutions to financial challenges.Neural networking is a highly effective, trainable algorithmic approach whichemulates certain aspects of human brain functions, and is used extensively infinancial forecasting allowing for quick investment decision making.

This book presents the most cutting-edge artificial intelligence (AI)/neuralnetworking applications for markets, assets and other areas of finance. Splitinto four sections, the book first explores time series analysis forforecasting and trading across a range of assets, including derivatives, exchangetraded funds, debt and equity instruments. This section will focus on patternrecognition, market timing models, forecasting and trading of financial timeseries. Section II provides insights into macro and microeconomics and how AItechniques could be used to better understand and predict economic variables.Section III focuses on corporate finance and credit analysis providing aninsight into corporate structures and credit, and establishing a relationshipbetween financial statement analysis and the influence of various financialscenarios. Section IV focuses on portfolio management, exploring applicationsfor portfolio theory, asset allocation and optimization.

This book presents some of the latest research in the field of artificialintelligence and finance, and provides in-depth analysis and highly applicabletools and techniques for practitioners and researchers in this field.