AI and Financial Markets

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: Economics, Finance, Business and Management; agent based simulation; algorithmic trading; Artificial Intelligence; artificial market; asset allocation; ATR; autoencoder; blockchain; BlockCloud; CAR regulation; CfD; community finances; consensus algorithms; contract for difference; deep learning; deep reinforcement learning; economic policy; exchange rates; financial market simulation; fiscal flexibility; fundamentals; hidden markov model; individualized financial arrangements; interpretability; long short-term memory; LSTM; machine learning; neural network; neural networks; portfolio; prediction; price momentum; Q-learning; random forest; reinforcement learning; RL; simulation; Stop Loss; support vector machine; sustainable financial services; term structure of interest rates; text mining; topic model; Turtle; uncertainty; yield curve
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of "AI and Financial Markets", and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.