{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:44:38Z","timestamp":1760363078017,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T00:00:00Z","timestamp":1617148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100017630","name":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["17YJCZH044 & 18YJAZH127"],"award-info":[{"award-number":["17YJCZH044 & 18YJAZH127"]}],"id":[{"id":"10.13039\/501100017630","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Since the \u201chigh stock dividend\u201d of A-share companies in China often leads to the short-term stock price increase, this phenomenon\u2019s prediction has been widely concerned by academia and industry. In this study, a new multi-layer stacking ensemble algorithm is proposed. Unlike the classic stacking ensemble algorithm that focused on the differentiation of base models, this paper used the equal weight comprehensive feature evaluation method to select features before predicting the base model and used a genetic algorithm to match the optimal feature subset for each base model. After the base model\u2019s output prediction, the LightGBM (LGB) model was added to the algorithm as a secondary information extraction layer. Finally, the algorithm inputs the extracted information into the Logistic Regression (LR) model to complete the prediction of the \u201chigh stock dividend\u201d phenomenon. Using the A-share market data from 2010 to 2019 for simulation and evaluation, the proposed model improves the AUC (Area Under Curve) and F1 score by 0.173 and 0.303, respectively, compared to the baseline model. The prediction results shed light on event-driven investment strategies.<\/jats:p>","DOI":"10.3390\/e23040416","type":"journal-article","created":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T10:24:33Z","timestamp":1617186273000},"page":"416","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on the Prediction of A-Share \u201cHigh Stock Dividend\u201d Phenomenon\u2014A Feature Adaptive Improved Multi-Layers Ensemble Model"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6561-7533","authenticated-orcid":false,"given":"Yi","family":"Fu","sequence":"first","affiliation":[{"name":"School of Finance and Business, Shanghai Normal University, Shanghai 200234, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingwen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Finance and Business, Shanghai Normal University, Shanghai 200234, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinshi","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Finance and Business, Shanghai Normal University, Shanghai 200234, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1833-3770","authenticated-orcid":false,"given":"Qianwen","family":"Bi","sequence":"additional","affiliation":[{"name":"Woodbury Business School, Department of Finance and Economics, Utah Valley University, Orem, UT 84058, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1086\/294442","article-title":"Dividend Policy, Growth, and the Valuation of Shares","volume":"34","author":"Miller","year":"1961","journal-title":"J. Bus."},{"unstructured":"(2021, March 19). Eastmoney Page. Available online: http:\/\/finance.eastmoney.com\/a\/202012021721604784.html.","key":"ref_2"},{"key":"ref_3","first-page":"133","article-title":"Research on the Phenomenon of \u201cHigh Stock Dividend\u201d in Chinese Stock Market","volume":"11","author":"Li","year":"2014","journal-title":"Manag. World"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"178","DOI":"10.2753\/REE1540-496X500310","article-title":"The Chinese Stock Dividend Puzzle","volume":"50","author":"Pan","year":"2014","journal-title":"Emerg. Mark. Fin. Trade"},{"key":"ref_5","first-page":"99","article-title":"High Transfer, Accounting Conservatism and the Scale of Large Shareholders\u2019 Reduction","volume":"34","author":"Lai","year":"2020","journal-title":"East China Econ. Manag."},{"key":"ref_6","first-page":"1","article-title":"Is High Stock Dividends Really the Instrument of Stock Sales? Empirical Evidence from the A-share Market","volume":"7","author":"Chen","year":"2017","journal-title":"Sci. Decis. Making."},{"key":"ref_7","first-page":"97","article-title":"Distribution of Incomes of Corporations Among Dividends, Retained Earnings, and Taxes","volume":"46","author":"Lintner","year":"1956","journal-title":"Am. Econ. Rev."},{"key":"ref_8","first-page":"241","article-title":"The Economic Consequences of Accounting for Stock Splits and Large Stock Dividends","volume":"71","author":"Peterson","year":"1996","journal-title":"Account Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s11156-006-7437-z","article-title":"Do Stock Splits Signal Future Profitability?","volume":"26","author":"Huang","year":"2006","journal-title":"Rev. Quant. Financ. Account."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1177\/0312896214553858","article-title":"Why Do Firms Pay Stock Dividends: Is It Just a Stock Split?","volume":"41","author":"He","year":"2016","journal-title":"Aust. J. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1111\/j.1540-6261.1987.tb03919.x","article-title":"Stock Splits and Stock Dividends: Why, Who, and When","volume":"42","author":"Lakonishok","year":"1987","journal-title":"J. Financ."},{"key":"ref_12","first-page":"20","article-title":"Further Evidence on Managerial Motives for Stock Splits","volume":"32","author":"Baker","year":"1993","journal-title":"Q. J. Bus. Econ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0304-405X(95)00872-C","article-title":"Stock Splits: Signaling or Liquidity? The Case of ADR \u2018Solo-Splits\u2019","volume":"42","author":"Muscarella","year":"1996","journal-title":"J. Fin. Econ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1162\/003355397555208","article-title":"Money Illusion","volume":"112","author":"Shafir","year":"1997","journal-title":"Q. J. Econ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1007\/s11156-013-0394-4","article-title":"The Impact of Regulation FD on the Information Environment: Evidence from the Stock Market Response to Stock Split Announcements","volume":"43","author":"Eng","year":"2014","journal-title":"Rev. Quant. Fin. Account."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.qref.2016.06.008","article-title":"Institutional Holdings, Investment Opportunities and Dividend Policy","volume":"64","author":"Huang","year":"2017","journal-title":"Q. Rev. Econ. Financ."},{"key":"ref_17","first-page":"28","article-title":"Is High Stock Dividend a Pie or a Trap? Based on the Research of Chinese A-Share Listed Companies","volume":"1","author":"Xie","year":"2019","journal-title":"J. Fin. Econ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1111\/j.1540-6288.1975.tb00916.x","article-title":"An Empirical Analysis of the Determinants of Stock Splits","volume":"10","author":"Ezzell","year":"1975","journal-title":"Financ. Rev."},{"key":"ref_19","first-page":"186","article-title":"Forecasting Decisions on Dividend Policy of South Korea Companies Listed in the Korea Exchange Market Based on Support Vector Machines","volume":"5","author":"Bae","year":"2010","journal-title":"J. Converg. Inf. Technol."},{"key":"ref_20","first-page":"81","article-title":"The Motives of Issuing Stock Dividends by Chinese Listed Firms -An Empirical Test Based on a Sample of High Stock Dividends","volume":"5","author":"Xiong","year":"2012","journal-title":"Res. Econ. Manag."},{"key":"ref_21","first-page":"139","article-title":"The Study of High Stock Dividends by Chinese Listed Firms\u2014Analysis Based on BP Neural Network Model Method","volume":"37","author":"Dong","year":"2018","journal-title":"Rev. Investig. Stud."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1093\/nsr\/nwy108","article-title":"Deep Forest","volume":"6","author":"Zhou","year":"2019","journal-title":"Natl. Sci. Rev."},{"doi-asserted-by":"crossref","unstructured":"He, X., Pan, J., Jin, O., Xu, T., Liu, B., Xu, T., Shi, Y., Atallah, A., Herbrich, R., and Bowers, S. (2014, January 24). Practical Lessons from Predicting Clicks on Ads at Facebook. Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, New York, NY, USA.","key":"ref_23","DOI":"10.1145\/2648584.2648589"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","article-title":"Stacked Generalization","volume":"5","author":"Wolpert","year":"1992","journal-title":"Neural Netw."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.eswa.2014.07.040","article-title":"Predicting Stock and Stock Price Index Movement Using Trend Deterministic Data Preparation and Machine Learning Techniques","volume":"42","author":"Patel","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"122370","DOI":"10.1016\/j.physa.2019.122370","article-title":"Default Prediction in P2P Lending from High-dimensional Data based on Machine Learning","volume":"534","author":"Zhou","year":"2019","journal-title":"Phys. A"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","article-title":"A Survey on Feature Selection Methods","volume":"40","author":"Chandrashekar","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4632","DOI":"10.1016\/j.eswa.2015.01.069","article-title":"Similarity of Feature Selection Methods: An Empirical Study across Data Intensive Classification Tasks","volume":"42","author":"Pes","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"ref_29","first-page":"69","article-title":"Efficient Support Vector Machine Classification of Diffuse Large B-Cell Lymphoma and Follicular Lymphoma mRNA Tissue Samples","volume":"13","author":"Banjoko","year":"2015","journal-title":"Ann. Comput. Sci. Ser."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1126\/science.1205438","article-title":"Detecting Novel Associations in Large Datasets","volume":"334","author":"Reshef","year":"2011","journal-title":"Science"},{"doi-asserted-by":"crossref","unstructured":"Zeng, G. (2013). Metric Divergence Measures and Information Value in Credit Scoring. J. Math., 848271.","key":"ref_31","DOI":"10.1155\/2013\/848271"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","article-title":"Gene Selection for Cancer Classification Using Support Vector Machines","volume":"46","author":"Guyon","year":"2002","journal-title":"Mach. Learn."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"151482","DOI":"10.1109\/ACCESS.2019.2947701","article-title":"Combining Multiple Feature-ranking Techniques and Clustering of Variables for Feature Selection","volume":"7","author":"Haq","year":"2019","journal-title":"IEEE Access."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1007607513941","article-title":"An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization","volume":"40","author":"Dietterich","year":"2000","journal-title":"Mach. Learn."},{"doi-asserted-by":"crossref","unstructured":"Graczyk, M., Lasota, T., Trawi\u0144ski, B., and Trawi\u0144ski, K. (2010, January 24\u201326). Comparison of Bagging, Boosting and Stacking Ensembles Applied to Real Estate Appraisal. Proceedings of the Asian Conference on Intelligent Information and Database Systems, Hue City, Vietnam.","key":"ref_35","DOI":"10.1007\/978-3-642-12101-2_35"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.eswa.2010.06.048","article-title":"A Comparative Assessment of Ensemble Learning for Credit Scoring","volume":"38","author":"Wang","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.inffus.2004.04.004","article-title":"Diversity Creation Methods: A Survey and Categorisation","volume":"6","author":"Brown","year":"2005","journal-title":"Inf. Fusion."},{"key":"ref_38","first-page":"36","article-title":"Genetic Algorithms in Search, Optimization, and Machine Learning","volume":"102","author":"Golberg","year":"1989","journal-title":"Addion Wesley"},{"key":"ref_39","first-page":"357","article-title":"Application of the logistic function to bio-assay","volume":"39","author":"Berkson","year":"1944","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-Vector Networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"unstructured":"Ho, T.K. (1995, January 14\u201316). Random Decision Forests. Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, QC, Canada.","key":"ref_41"},{"key":"ref_42","first-page":"3146","article-title":"Lightgbm: A Highly Efficient Gradient Boosting Decision Tree","volume":"30","author":"Ke","year":"2017","journal-title":"Adv. Neural Inform. Process. Syst."},{"unstructured":"Hecht-Nielsen, R. (1992). Theory of the Backpropagation Neural Network in Neural Networks for Perception, Academic Press.","key":"ref_43"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","article-title":"Nearest Neighbor Pattern Classification","volume":"13","author":"Cover","year":"1967","journal-title":"IEEE Trans. Inf. Theory"},{"unstructured":"Lin, X.M., Chen, Y., and Li, Z.Y. (2018). Stacking Learning for Artificial Intelligence Stock Selection, Huatai Securities Research Institute.","key":"ref_45"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1017\/S1481803500013336","article-title":"Understanding Receiver Operating Characteristic (ROC) Curves","volume":"8","author":"Fan","year":"2006","journal-title":"Can. J. Emerg. Med."},{"unstructured":"(2021, March 19). Wikipedia Page. Available online: https:\/\/en.wikipedia.org\/wiki\/F-score.","key":"ref_47"},{"key":"ref_48","first-page":"60","article-title":"A Fast SVM-based Feature Selection Method","volume":"40","author":"Dai","year":"2010","journal-title":"J. Shandong Univ. Eng. Sci."}],"container-title":["Entropy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1099-4300\/23\/4\/416\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:25:36Z","timestamp":1760361936000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1099-4300\/23\/4\/416"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,31]]},"references-count":48,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["e23040416"],"URL":"https:\/\/doi.org\/10.3390\/e23040416","relation":{},"ISSN":["1099-4300"],"issn-type":[{"type":"electronic","value":"1099-4300"}],"subject":[],"published":{"date-parts":[[2021,3,31]]}}}