AI and Financial Markets
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...
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| Year of Publication: | 2020 |
| Language: | English |
| Physical Description: | 1 electronic resource (230 p.) |
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(CKB)5400000000043799 (oapen)https://directory.doabooks.org/handle/20.500.12854/68696 (EXLCZ)995400000000043799 |
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Hamori, Shigeyuki edt AI and Financial Markets Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 1 electronic resource (230 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English Economics, finance, business & management bicssc 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 3-03936-224-0 3-03936-225-9 Takiguchi, Tetsuya edt Hamori, Shigeyuki oth Takiguchi, Tetsuya oth |
| language |
English |
| format |
eBook |
| author2 |
Takiguchi, Tetsuya Hamori, Shigeyuki Takiguchi, Tetsuya |
| author_facet |
Takiguchi, Tetsuya Hamori, Shigeyuki Takiguchi, Tetsuya |
| author2_variant |
s h sh t t tt |
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HerausgeberIn Sonstige Sonstige |
| title |
AI and Financial Markets |
| spellingShingle |
AI and Financial Markets |
| title_full |
AI and Financial Markets |
| title_fullStr |
AI and Financial Markets |
| title_full_unstemmed |
AI and Financial Markets |
| title_auth |
AI and Financial Markets |
| title_new |
AI and Financial Markets |
| title_sort |
ai and financial markets |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2020 |
| physical |
1 electronic resource (230 p.) |
| isbn |
3-03936-224-0 3-03936-225-9 |
| illustrated |
Not Illustrated |
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AT hamorishigeyuki aiandfinancialmarkets AT takiguchitetsuya aiandfinancialmarkets |
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