Academic literature on the topic 'Forecasting stock price'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Forecasting stock price.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Forecasting stock price"
Yu, Menghan, Panji Wang, and Tong Wang. "Application of Hidden Markov Models in Stock Forecasting." Proceedings of Business and Economic Studies 5, no. 6 (December 7, 2022): 14–21. http://dx.doi.org/10.26689/pbes.v5i6.4453.
Full textSadorsky, Perry. "A Random Forests Approach to Predicting Clean Energy Stock Prices." Journal of Risk and Financial Management 14, no. 2 (January 24, 2021): 48. http://dx.doi.org/10.3390/jrfm14020048.
Full textMarjuni, Aris. "Peramalan Harga Saham Serentak Menggunakan Model Multivariate Singular Spectrum Analysis." JURNAL SISTEM INFORMASI BISNIS 12, no. 1 (August 24, 2022): 17–25. http://dx.doi.org/10.21456/vol12iss1pp17-25.
Full textFathi, Asmaa Y., Ihab A. El-Khodary, and Muhammad Saafan. "Integrating singular spectrum analysis and nonlinear autoregressive neural network for stock price forecasting." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 3 (September 1, 2022): 851. http://dx.doi.org/10.11591/ijai.v11.i3.pp851-858.
Full textSerbin, V., and U. Zhenisserov. "ANALYSIS OF MACHINE LEARNING METHODS FOR PREDICTIONS OF STOCK EXCHANGE SHARE PRICES." Scientific Journal of Astana IT University, no. 5 (July 27, 2021): 94–100. http://dx.doi.org/10.37943/aitu.2021.47.22.009.
Full textLu, Wenjie, Jiazheng Li, Yifan Li, Aijun Sun, and Jingyang Wang. "A CNN-LSTM-Based Model to Forecast Stock Prices." Complexity 2020 (November 23, 2020): 1–10. http://dx.doi.org/10.1155/2020/6622927.
Full textKwang En, Tan. "IS STOCK PRICES REFLECTED IN MARKET RATIOS?" International Journal of Contemporary Accounting 2, no. 2 (December 23, 2020): 123. http://dx.doi.org/10.25105/ijca.v2i2.8224.
Full textRammurthy, Shruthi Komarla, and Sagar B. Patil. "An LSTM-Based Approach to Predict Stock Price Movement for IT Sector Companies." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (October 2021): 1–12. http://dx.doi.org/10.4018/ijcini.20211001.oa3.
Full textLv, Jiehua, Chao Wang, Wei Gao, and Qiumin Zhao. "An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model." Computational Intelligence and Neuroscience 2021 (September 28, 2021): 1–10. http://dx.doi.org/10.1155/2021/8128879.
Full textHe, Ling T. "Forecasting of housing stock returns and housing prices." Journal of Financial Economic Policy 7, no. 2 (May 5, 2015): 90–103. http://dx.doi.org/10.1108/jfep-01-2014-0004.
Full textDissertations / Theses on the topic "Forecasting stock price"
Kwan, Wai-ching Josephine. "Trend models for price movements in financial markets /." [Hong Kong] : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13841397.
Full textYiu, Fu-keung. "Time series analysis of financial index /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18003047.
Full textShan, Yaowen School of Banking & finance UNSW. "Analysts' forecasts and future stock return volatility: a firm-level analysis for NYSE Firms." Awarded by:University of New South Wales. School of Banking & finance, 2006. http://handle.unsw.edu.au/1959.4/26963.
Full textRank, Christian. "Forecasting stock price movements using neural networks." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/4392.
Full textThe prediction of security prices has shown to be one of the most important but most difficult tasks in financial operations. Linear approaches failed to model the non-linear behaviour of markets and non-linear approaches turned out to posses too many constraints. Neural networks seem to be a suitable method to overcome these problems since they provide algorithms which process large sets of data from a non-linear context and yield thorough results. The first problem addressed by this research paper is the applicability of neural networks with respect to markets as a tool for pattern recognition. It will be shown that markets posses the necessary requirements for the use of neural networks, i.e. markets show patterns which are exploitable.
Zhang, Yuzhao. "Essays on return predictability and volatility estimation." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1666139151&sid=3&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Full textZhang, Shaorong. "Essays on security issuance /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144472.
Full textRangel, Jose Gonzalo. "Stock market volatility and price discovery three essays on the effect of macroeconomic information /." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3220417.
Full textTitle from first page of PDF file (viewed September 7, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 125-130).
Chen, Gary. "Behavioural heterogeneity in ASX 200 a dissertation submitted to Auckland University of Technology in fulfilment of the requirements for the degree of Master of Business (MBus), 2009 /." Click here to access this resource online, 2009. http://hdl.handle.net/10292/758.
Full textFodor, Bryan D. "The effect of macroeconomic variables on the pricing of common stock under trending market conditions." Thesis, Department of Business Administration, University of New Brunswick, 2003. http://hdl.handle.net/1882/49.
Full textTypescript. Bibliography: leaves 83-84. Also available online through University of New Brunswick, UNB Electronic Theses & Dissertations.
Woodgate, Artemiza. "The impact of earnings management on price momentum /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/8755.
Full textBooks on the topic "Forecasting stock price"
Hess, Martin. The Determinants and the forecastability of Swiss stock prices. Bern: Studienzentrum Gerzensee, 2001.
Find full textHow the major stock indexes work: From the Dow to the S&P 500. New York: Rosen Pub., 2013.
Find full textRischbieth, Nick. Zur Eignung von Finanz-Kennzahlen für die Prognose von wesentlichen Ausschüttungsänderungen: Eine empirische Untersuchung anhand der Jahresabschlüsse börsennotierter Aktiengesellschaften in der Bundesrepublik Deutschland. Frankfurt am Main: P. Lang, 1987.
Find full textO'Brien, Thomas J. A simple binomial no-arbitrage model of the term structure with applications to the valuation of interest-sensitive options and interest-rate swaps. New York, N.Y: Salomon Brothers Center for the Study of Financial Institutions, 1991.
Find full textO'Brien, Thomas J. A simple binomial no-arbitrage model of the term structure with applications to the valuation of interest-sensitive options and interest-rate swaps. New York, N.Y: Salomon Brothers Center for the Study of Financial Institutions, 1991.
Find full textHaskamp, Clemens Heinrich. Aktienkursprognose auf Grundlage der Identifikation von Trend- und Saisonkomponente: Eine empirische Untersuchung. Krefeld: Marchal und Matzenbacher, 1985.
Find full textPhillips, Scott. Buying at the point of maximum pessimism: Six value investing trends from China to oil to agriculture. Upper Saddle River, N.J: FT Press, 2010.
Find full textBuying at the point of maximum pessimism: Six value investing trends from China to oil to agriculture. Upper Saddle River, N.J: FT Press, 2010.
Find full textS, Woodward Richard, and New York University, eds. Gains from stock market timing. New York, N.Y: Salomon Brothers Center for the Study of Financial Institutions, Graduate School of Business Administration, New York University, 1986.
Find full textChua, Jess H. Gains from stock-market timing. New York, N.Y. (90 Trinity Pl., New York 10006): Salomon Brothers Center for the Study of Financial Institutions, Graduate School of Business Administration, New York University, 1986.
Find full textBook chapters on the topic "Forecasting stock price"
Ravichandra, Thangjam, and Chintureena Thingom. "Stock Price Forecasting Using ANN Method." In Advances in Intelligent Systems and Computing, 599–605. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2757-1_59.
Full textBao, Yukun, Yansheng Lu, and Jinlong Zhang. "Forecasting Stock Price by SVMs Regression." In Artificial Intelligence: Methodology, Systems, and Applications, 295–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30106-6_30.
Full textRoh, Tae Hyup. "Forecasting the Volatility of Stock Price Index." In Advanced Data Mining and Applications, 424–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811305_47.
Full textTouzani, Yassine, Khadija Douzi, and Fadoul Khoukhi. "Stock Price Forecasting: New Model for Stocks Selection and Price Forecasting Based on Convolutional Neural Network." In Advances in Intelligent Systems and Computing, 422–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36674-2_43.
Full textDo, Sang Thanh, Thi Thanh Nguyen, Dong-Min Woo, and Dong-Chul Park. "Standard Additive Fuzzy System for Stock Price Forecasting." In Intelligent Information and Database Systems, 279–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12101-2_29.
Full textVantuch, Tomas, and Ivan Zelinka. "Evolutionary Based ARIMA Models for Stock Price Forecasting." In ISCS 2014: Interdisciplinary Symposium on Complex Systems, 239–47. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10759-2_25.
Full textGupta, Bhupendra Kumar, Manas Kumar Mallick, and Sarbeswara Hota. "Survey on Stock Price Forecasting Using Regression Analysis." In Smart Innovation, Systems and Technologies, 147–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6202-0_16.
Full textCrato, Nuno, and Álvaro Assis Lopes. "Forecasting Price Trends at the Lisbon Stock Exchange." In A Reappraisal of the Efficiency of Financial Markets, 305–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74741-0_18.
Full textAshik, A. Mohamed, and K. Senthamarai Kannan. "Time Series Model for Stock Price Forecasting in India." In Asset Analytics, 221–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0872-7_17.
Full textKumar, Neeraj, Ritu Chauhan, and Gaurav Dubey. "Forecasting of Stock Price Using LSTM and Prophet Algorithm." In Lecture Notes in Electrical Engineering, 141–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3067-5_12.
Full textConference papers on the topic "Forecasting stock price"
Touzani, Yassine, Khadija Douzi, and Fadoul Khoukhi. "Stock Price Forecasting." In the 2018 2nd International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3264560.3264566.
Full textToliyat Abolhassani, AmirMohsen, and Mahdi Yaghoobi. "Stock price forecasting using PSOSVM." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579738.
Full textRavichandra, Thangjam, and Chintureena Thingom. "Cumulative istributionfunction: Stock price forecasting." In 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2017. http://dx.doi.org/10.1109/icimia.2017.7975643.
Full textBeyaz, Erhan, Firat Tekiner, Xiao-jun Zeng, and John Keane. "Stock Price Forecasting Incorporating Market State." In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00263.
Full textWu, Jui-Yu, and Chi-Jie Lu. "Computational Intelligence Approaches for Stock Price Forecasting." In 2012 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2012. http://dx.doi.org/10.1109/is3c.2012.23.
Full textWang, Yifeng, Yuying Liu, Meiqing Wang, and Rong Liu. "LSTM Model Optimization on Stock Price Forecasting." In 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES). IEEE, 2018. http://dx.doi.org/10.1109/dcabes.2018.00052.
Full textChen, Chia-Chi, Chun Kuo, Shu-Yu Kuo, and Yao-Hsin Chou. "Dynamic Normalization BPN for Stock Price Forecasting." In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2015. http://dx.doi.org/10.1109/smc.2015.497.
Full textThakur, Shivam, Shekar singh, and Seema Sharma. "Forecasting Stock Price Using Conditional Inference Tree." In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2018. http://dx.doi.org/10.1109/icacccn.2018.8748383.
Full textCoelho, Joseph, Dawson D'almeida, Scott Coyne, Nathan Gilkerson, Katelyn Mills, and Praveen Madiraju. "Social Media and Forecasting Stock Price Change." In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2019. http://dx.doi.org/10.1109/compsac.2019.10206.
Full textAaryan and B. Kanisha. "Forecasting stock market price using LSTM-RNN." In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2022. http://dx.doi.org/10.1109/icacite53722.2022.9823818.
Full textReports on the topic "Forecasting stock price"
Chen, Joseph, Harrison Hong, and Jeremy Stein. Forecasting Crashes: Trading Volume, Past Returns and Conditional Skewness in Stock Prices. Cambridge, MA: National Bureau of Economic Research, May 2000. http://dx.doi.org/10.3386/w7687.
Full text