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The analysis and prediction of stock price
2013 IEEE International Conference on Granular Computing (GrC), 2013Nowadays, the stock market has attracted more and more people's attention with its high risk and high returns, and forecasting method of stock price also emerge in an endless stream, such as nonlinear regression. In this paper, we introduce a kind of method based on Hidden Markov Model to forecast stock price trend. Which is different from the existing
Tao Xing, Yuan Sun, Qian Wang, Guo Yu
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Determinants of telecommunication stock prices
Journal of Economic Studies, 2013Purpose – The purpose of this paper is to analyze the determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world. Design/methodology/approach – The empirical analysis is performed using panel ...
Gregoriou, Andros +2 more
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The Speed of Stock Price Discovery
SSRN Electronic Journal, 2012We develop closed-form expressions for the path and speed of stock price discovery in a utility-based CAPM with wealth effects. Two investors with uniquely bounded risk-preferences always apply opposite portfolio rebalancing trades. These trades determine the intra-period path and speed of price discovery in a Walrasian, tâtonnement setup.
Arieh Gavious, Haim Kedar-Levy
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Stock Prices and the Supply of Information
The Journal of Finance, 1991ABSTRACTWe develop a model in which the dependence of the brokerage commission rate on share price provides an incentive for brokers to produce research reports on firms with low share prices. Stock splits therefore affect the attention paid to a firm by investment analysts.
Brennan, Michael J, Hughes, Patricia J
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The Volatility of Stock Market Prices
Science, 1987If the volatility of stock market prices is to be understood in terms of the efficient markets hypothesis, then there should be evidence that true investment value changes through time sufficiently to justify the price changes. Three indicators of change in true investment value of the aggregate stock market in the United States from 1871 to 1986 are ...
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Impact of COVID-19 on stock price crash risk: Evidence from Chinese energy firms
Energy Economics, 2021Shoujun Huang
exaly
A CNN-BiLSTM-AM method for stock price prediction
Neural Computing and Applications, 2020Wenjie Lu, Jiazheng Li, Jingyang Wang
exaly
Relationships between oil price shocks and stock market: An empirical analysis from China
Energy Policy, 2008Rong-Gang Cong, Yi-Ming Wei, Ying Fan
exaly
Do oil price asymmetric effects on the stock market persist in multiple time horizons?
Applied Energy, 2017Haizhong An, Xiangyun Gao, Xiaoqi Sun
exaly