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SSRN Electronic Journal, 2015
A kinetic model of stock price returns is presented for the description of the stock price dynamics through an impact of the information signals on investor behaviours. The model incorporates behavioural processes of the influence of the private or public information on the exchange of cash and shares flows.
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A kinetic model of stock price returns is presented for the description of the stock price dynamics through an impact of the information signals on investor behaviours. The model incorporates behavioural processes of the influence of the private or public information on the exchange of cash and shares flows.
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Stock price reactions to ESG news: the role of ESG ratings and disagreement
Review of accounting studies, 2021George Serafeim, Aaron S. Yoon
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2021
Equity options, which are the most common type of equity derivatives, give an investor the right but not the obligation to buy a call or sell a put at a set strike price prior to the contract's expiry date. Equity options are derivatives that means their value is derived from the value of an underlying equity.
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Equity options, which are the most common type of equity derivatives, give an investor the right but not the obligation to buy a call or sell a put at a set strike price prior to the contract's expiry date. Equity options are derivatives that means their value is derived from the value of an underlying equity.
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Applied intelligence (Boston), 2022
T. Swathi, N. Kasiviswanath, A. A. Rao
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T. Swathi, N. Kasiviswanath, A. A. Rao
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SSRN Electronic Journal, 2020
We provide evidence that stock prices are positively correlated with firm value in a cross-sectional framework. This is surprising as company managers can alter the stock price at their own discretion by changing the number of shares outstanding. Even more puzzling is that firms with a high stock price at the end of the year have lower returns in the ...
Mustafa Disli +3 more
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We provide evidence that stock prices are positively correlated with firm value in a cross-sectional framework. This is surprising as company managers can alter the stock price at their own discretion by changing the number of shares outstanding. Even more puzzling is that firms with a high stock price at the end of the year have lower returns in the ...
Mustafa Disli +3 more
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Stock Price Prediction Using News Sentiment Analysis
International Conference on Big Data Computing Service and Applications, 2019Predicting stock market prices has been a topic of interest among both analysts and researchers for a long time. Stock prices are hard to predict because of their high volatile nature which depends on diverse political and economic factors, change of ...
Saloni Mohan +4 more
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A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM
International Journal of Information Technology and Decision Making, 2019Stock price exhibits distinct features during different time scales due to the effects of complex factors. Analyzing these features can help delineate the mechanisms that determine the stock price and enhance the prediction accuracy of the stock price ...
Jihong Xiao +5 more
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Factors Affecting the Stock Price: The Role of Firm Performance
, 2021Fatmasari Sukesti +4 more
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Prediction of Stock Price Based on LSTM Neural Network
International Conference on Artificial Intelligence and Advanced Manufacturing, 2019This study, based on the demand for stock price prediction and the practical problems it faces, compared and analyzed a variety of neural network prediction methods, and finally chose LSTM (Long Short-Term Memory, LSTM) neural network.
Wei Dou
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A CNN-BiLSTM-AM method for stock price prediction
Neural computing & applications (Print), 2020Wenjie Lu +3 more
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