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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Ngôn ngữ:Tiếng Anh
Được phát hành: MDPI - Multidisciplinary Digital Publishing Institute 2021
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collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-686962024-03-29T19:31:05Z AI and Financial Markets Hamori, Shigeyuki Takiguchi, Tetsuya 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 thema EDItEUR::K Economics, Finance, Business and Management 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. 2021-05-01T15:27:03Z 2021-05-01T15:27:03Z 2020 book ONIX_20210501_9783039362240_442 9783039362240 9783039362257 https://directory.doabooks.org/handle/20.500.12854/68696 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2462 https://mdpi.com/books/pdfview/book/2462 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-225-7 10.3390/books978-3-03936-225-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039362240 9783039362257 230 Basel, Switzerland open access
spellingShingle 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
thema EDItEUR::K Economics, Finance, Business and Management
AI and Financial Markets
title AI and Financial Markets
title_full AI and Financial Markets
title_fullStr AI and Financial Markets
title_full_unstemmed AI and Financial Markets
title_short AI and Financial Markets
title_sort ai and financial markets
topic 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
thema EDItEUR::K Economics, Finance, Business and Management
topic_facet 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
thema EDItEUR::K Economics, Finance, Business and Management
url ONIX_20210501_9783039362240_442