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...
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
Explore the intersection of AI and finance. Learn how machine learning algorithms can revolutionize stock market prediction, giving you a competitive edge in trading.
Financial forecasting Deep learning models Environmental factors Stock market analysis Seasonal variations Predictive accuracyAssociated Content Part of a collection: Innovation Management in Asia Access this article Log in via an institution Buy article PDF 39,95 € Price includes VAT (China (P.R....
Stock Market and Machine Learning in Brief The stock market is a fluctuating market that links investors to public companies, hence holding any one of its shares. It implies trading in ownership interests in a company. Value shares differ as the company progresses or regresses, while growth accum...
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 machine learning models are also widely used in prognosis, prevalence, and mortality analysis of COVID-1922,23. Complex relations between news, drugs, and financial networks allow researchers to investigate the company and market operating principles on a system-wide level rather than case-...