These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
145 related articles for article (PubMed ID: 35327843)
1. An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data. Raubitzek S; Neubauer T Entropy (Basel); 2022 Feb; 24(3):. PubMed ID: 35327843 [TBL] [Abstract][Full Text] [Related]
3. Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review. Raubitzek S; Neubauer T Entropy (Basel); 2021 Dec; 23(12):. PubMed ID: 34945978 [TBL] [Abstract][Full Text] [Related]
4. Taming the Chaos in Neural Network Time Series Predictions. Raubitzek S; Neubauer T Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828122 [TBL] [Abstract][Full Text] [Related]
5. Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index. Nian R; Xu Y; Yuan Q; Feng C; Lendasse A Front Public Health; 2021; 9():727047. PubMed ID: 34568265 [TBL] [Abstract][Full Text] [Related]
6. Multilayer stock forecasting model using fuzzy time series. Javedani Sadaei H; Lee MH ScientificWorldJournal; 2014; 2014():610594. PubMed ID: 24605058 [TBL] [Abstract][Full Text] [Related]
7. Complexity Changes in the US and China's Stock Markets: Differences, Causes, and Wider Social Implications. Gao J; Hou Y; Fan F; Liu F Entropy (Basel); 2020 Jan; 22(1):. PubMed ID: 33285851 [TBL] [Abstract][Full Text] [Related]
8. Deep Learning for Stock Market Prediction. Nabipour M; Nayyeri P; Jabani H; Mosavi A; Salwana E; S S Entropy (Basel); 2020 Jul; 22(8):. PubMed ID: 33286613 [TBL] [Abstract][Full Text] [Related]
9. Galformer: a transformer with generative decoding and a hybrid loss function for multi-step stock market index prediction. Ji Y; Luo Y; Lu A; Xia D; Yang L; Wee-Chung Liew A Sci Rep; 2024 Oct; 14(1):23762. PubMed ID: 39390029 [TBL] [Abstract][Full Text] [Related]
10. Scaling Exponents of Time Series Data: A Machine Learning Approach. Raubitzek S; Corpaci L; Hofer R; Mallinger K Entropy (Basel); 2023 Dec; 25(12):. PubMed ID: 38136551 [TBL] [Abstract][Full Text] [Related]
11. Exploring the Relationship among Predictability, Prediction Accuracy and Data Frequency of Financial Time Series. Li S; Lin A Entropy (Basel); 2020 Dec; 22(12):. PubMed ID: 33279926 [TBL] [Abstract][Full Text] [Related]
12. A Volatility Estimator of Stock Market Indices Based on the Intrinsic Entropy Model. Vințe C; Ausloos M; Furtună TF Entropy (Basel); 2021 Apr; 23(4):. PubMed ID: 33921771 [TBL] [Abstract][Full Text] [Related]
13. Hurst entropy: A method to determine predictability in a binary series based on a fractal-related process. Ferraz MSA; Kihara AH Phys Rev E; 2019 Jun; 99(6-1):062115. PubMed ID: 31330637 [TBL] [Abstract][Full Text] [Related]
14. Predicting the European stock market during COVID-19: A machine learning approach. Khattak MA; Ali M; Rizvi SAR MethodsX; 2021; 8():101198. PubMed ID: 33425689 [TBL] [Abstract][Full Text] [Related]
15. Regularity in Stock Market Indices within Turbulence Periods: The Sample Entropy Approach. Olbryś J; Majewska E Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885144 [TBL] [Abstract][Full Text] [Related]
16. Relationship between Total Expenditure on Cosmetic Procedures in the United States and NASDAQ 100 Index. Moon J; Ha J; Kang D Plast Reconstr Surg Glob Open; 2023 May; 11(5):e4981. PubMed ID: 37197010 [TBL] [Abstract][Full Text] [Related]
17. Beyond randomness: Evaluating measures of information entropy in binary series. Ferraz MSA; Kihara AH Phys Rev E; 2022 Apr; 105(4-1):044101. PubMed ID: 35590660 [TBL] [Abstract][Full Text] [Related]
18. Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets. Pyo S; Lee J; Cha M; Jang H PLoS One; 2017; 12(11):e0188107. PubMed ID: 29136004 [TBL] [Abstract][Full Text] [Related]
19. Spillover effects of Great Recession on Hong-Kong's Real Estate Market: An analysis based on Causality Plane and Tsallis Curves of Complexity-Entropy. Argyroudis GS; Siokis FM Physica A; 2019 Jun; 524():576-586. PubMed ID: 32288108 [TBL] [Abstract][Full Text] [Related]
20. A Comprehensive Framework for Uncovering Non-Linearity and Chaos in Financial Markets: Empirical Evidence for Four Major Stock Market Indices. Inglada-Perez L Entropy (Basel); 2020 Dec; 22(12):. PubMed ID: 33353243 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]