Reference: Markus Leippold, Qian Wang, Wenyu Zhou, Machine learning in the Chinese stock market, Journal of Financial Economics, Volume 145, Issue 2, Part A, 2022, Pages 64-82, ISSN 0304-405X, https://doi.org/10.1016/j.jfineco.2021.08.017. ...
machine learningmodel selectionWe add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factLeippold, MarkusWang, QianZhou, WenyuSocial Science Electronic Publishing...
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for the US market, liquidity emerges as the most important predictor...
In typical engineering, people program computers to do pre-set, specific functions. But with machine learning, people program computers to learn independently. And with an online course like this one, you'll learn to apply that concept to quantitative trading. The course includes 64 lectures and...
Machine learningBig data analysisPractitioners allocate substantial resources to technical analysis whereas academic theories of market efficiency rule out technical trading profitability. We sdoi:10.2139/ssrn.3233119Brogaard, JonathanZareei, Abalfazl
The accurate forecasting of stock market volatility is of great theoretical and practical significance for investors to predict stock market trend, optimize asset allocation and avoid risks, and for regulators to warn risks and stabilize market order. In
The PCA-GRU-LSTM model’s success highlights the importance of leveraging advanced machine learning techniques to capture the complex, multifaceted nature of stock price movements, offering a promising avenue for future research in the knowledge economy’s intersection of technology, innovation, and ...
Explore the intersection of AI and finance. Learn how machine learning algorithms can revolutionize stock market prediction, giving you a competitive edge in trading.
Applying machine learning algorithms to predict the stock price trend in the stock market – The case of Vietnam Tran Phuoc, Pham Thi Kim Anh, Phan Huy Tam & Chien V. Nguyen Humanities and Social Sciences Communications volume 11, Article number: 393 (2024) Cite this article 78k Accesses...
Machine Learning Algorithms for Stock Market Prediction Via LSTM In stock market prediction using machine learning, thelong short-term memory network, or LSTM, stands as a valuable tool. It’s a specialized type ofrecurrent neural network (RNN)designed to capture and understand complex patterns inti...