|
Fama, Eugene F. "The behavior of stock-market prices." The Journal of Business 38.1 (1965): 34-105. Abarbanell, Jeffrey S., and Brian J. Bushee. "Fundamental analysis, future earnings, and stock prices." Journal of accounting research 35.1 (1997): 1-24. Dechow, Patricia M., and Douglas J. Skinner. "Earnings management: Reconciling the views of accounting academics, practitioners, and regulators." Accounting horizons 14.2 (2000): 235-250. Ajekwe, Clement, and Adzor Ibiamke. "Financial Statement Analysis to Predict Stock Returns of Listed Consumer Goods Firms in Nigeria." Available at SSRN 3247805 (2018). Muhammad, Shakeel, and Gohar Ali. "The Relationship Between Fundamental Analysis and Stock Returns Based on the Panel Data Analysis; Evidence from Karachi Stock exchange (KSE)." Research Journal of Finance and Accounting 9.3 (2018). Lo, Andrew W., Harry Mamaysky, and Jiang Wang. "Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation." The journal of finance55.4 (2000): 1705-1765. Boobalan, C. "Technical analysis in select stocks of Indian companies." International Journal of Business and Administration Research Review 2.4 (2014): 26-36. Thomas, Asha E. "A Study on Technical Analysis and Its Usefulness in Indian Stock Market." (2014). Yin, Libo, and Qingyuan Yang. "Predicting the oil prices: do technical indicators help?." Energy Economics 56 (2016): 338-350. Tsai, Chih-Fong, and Yen-Jiun Chiou. "Earnings management prediction: A pilot study of combining neural networks and decision trees." Expert systems with applications 36.3 (2009): 7183-7191. Flores, Juan J., Mario Graff, and Hector Rodriguez. "Evolutive design of ARMA and ANN models for time series forecasting." Renewable Energy 44 (2012): 225-230. Wu, Desheng Dash, Lijuan Zheng, and David L. Olson. "A decision support approach for online stock forum sentiment analysis." IEEE transactions on systems, man, and cybernetics: systems 44.8 (2014): 1077-1087. Heiberger, Raphael H. "Predicting economic growth with stock networks." Physica A: Statistical Mechanics and its Applications489 (2018): 102-111. Ballings, Michel, et al. "Evaluating multiple classifiers for stock price direction prediction." Expert Systems with Applications42.20 (2015): 7046-7056. Hsu, Chih-Wei, Chih-Chung Chang, and Chih-Jen Lin. "A practical guide to support vector classification." (2003). James, Gareth, et al. An introduction to statistical learning. Vol. 112. New York: springer, 2013. Henrique, Bruno Miranda, Vinicius Amorim Sobreiro, and Herbert Kimura. "Stock price prediction using support vector regression on daily and up to the minute prices." The Journal of finance and data science 4.3 (2018): 183-201. Fu, Sibao, et al. "Evolutionary support vector machine for RMB exchange rate forecasting." Physica A: Statistical Mechanics and its Applications 521 (2019): 692-704. Peng, Chao-Ying Joanne, Kuk Lida Lee, and Gary M. Ingersoll. "An introduction to logistic regression analysis and reporting." The journal of educational research 96.1 (2002): 3-14. Sohn, So Young, Dong Ha Kim, and Jin Hee Yoon. "Technology credit scoring model with fuzzy logistic regression." Applied Soft Computing 43 (2016): 150-158. Zhang, Harry. "The optimality of naive Bayes." AA 1.2 (2004): 3. Kunal, Sourav, et al. "Textual Dissection of Live Twitter Reviews using Naive Bayes." Procedia computer science 132 (2018): 307-313. Quinlan, J. Ross. "Induction of decision trees." Machine learning1.1 (1986): 81-106. Wu, Muh-Cherng, Sheng-Yu Lin, and Chia-Hsin Lin. "An effective application of decision tree to stock trading." Expert Systems with Applications 31.2 (2006): 270-274. Yeo, Benjamin, and Delvin Grant. "Predicting service industry performance using decision tree analysis." International Journal of Information Management 38.1 (2018): 288-300. Basak, Suryoday, et al. "Predicting the direction of stock market prices using tree-based classifiers." The North American Journal of Economics and Finance 47 (2019): 552-567. Liaw, Andy, and Matthew Wiener. "Classification and regression by randomForest." R news 2.3 (2002): 18-22. Ciner, Cetin. "Do industry returns predict the stock market? A reprise using the random forest." The Quarterly Review of Economics and Finance 72 (2019): 152-158. Speiser, Jaime Lynn, et al. "A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling." Expert Systems with Applications (2019). 技術分析應用於台灣股市之研究-移動平均線, 乖離率指標與相對強弱指標. 1997.
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