AI and Financial Markets

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