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Deep Learning-Based Stock Price Prediction Using LSTM and Bi-Directional LSTM Model
Novel Intelligent and Leading Emerging Sciences Conference, 2020In the financial world, the forecasting of stock price gains significant attraction. For the growth of shareholders in a company’s stock, stock price prediction has a great consideration to increase the interest of speculators for investing money to the ...
Md. Arif Istiake Sunny +2 more
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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
Communications in Computer and Information Science, 2020Prediction of stock prices has been an important area of research for a long time. While supporters of the efficient market hypothesis believe that it is impossible to predict stock prices accurately, there are formal propositions demonstrating that ...
Sidra Mehtab, Jaydip Sen, Abhishek Dutta
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CEO Early-Life Disaster Experience and Stock Price Crash Risk
Journal of Corporate Finance, 2020An emerging stream of research documents that experience of traumatic events early in a CEO’s life influences the firm’s investment and financing choices.
Yangyang Chen +3 more
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YMER Digital, 2022
Machine learning has many important applications in the stock price prediction. Here, we will discuss about predicting the returns on stocks. This has uncertainties and it is a very complex task. This project will be developed into two parts: First, we will learn how to predict stock price using the Long Short-Term Memory neural networks.
V BIKSHAM +4 more
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Machine learning has many important applications in the stock price prediction. Here, we will discuss about predicting the returns on stocks. This has uncertainties and it is a very complex task. This project will be developed into two parts: First, we will learn how to predict stock price using the Long Short-Term Memory neural networks.
V BIKSHAM +4 more
openaire +1 more source
Stock price synchronicity and stock price crash risk
China Finance Review International, 2016Purpose– The purpose of this paper is to empirically analyze the effects of stock price synchronicity and herding behavior of qualified foreign institutional investors (QFII) on stock price crash risk, especially the mediating effect of herding behavior of QFII on the relation of stock price synchronicity and stock price crash risk.Design/methodology ...
Yonghong Jin +3 more
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Accounting Review, 2020
We exploit the staggered recognition of the Inevitable Disclosure Doctrine (IDD) by U.S. state courts to examine the effect of trade secret protection on the amount of firm-specific information incorporated in stock prices, as reflected in stock price ...
Yongtae Kim, L. Su, Z. Wang, Haibin Wu
semanticscholar +1 more source
We exploit the staggered recognition of the Inevitable Disclosure Doctrine (IDD) by U.S. state courts to examine the effect of trade secret protection on the amount of firm-specific information incorporated in stock prices, as reflected in stock price ...
Yongtae Kim, L. Su, Z. Wang, Haibin Wu
semanticscholar +1 more source
International Review of Economics & Finance, 2021
Abstract We apply concepts form machine learning to forecast stock prices. First, we introduce the general (3 by 3) forecasting model, in which the financial markets are populated by three types of stocks: Overpriced stocks, underpriced stocks and fairly priced stocks.
Arie Harel, Giora Harpaz
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Abstract We apply concepts form machine learning to forecast stock prices. First, we introduce the general (3 by 3) forecasting model, in which the financial markets are populated by three types of stocks: Overpriced stocks, underpriced stocks and fairly priced stocks.
Arie Harel, Giora Harpaz
openaire +1 more source
BUILDING AND ECONOMETRIC MODEL OF SELECTED FACTORS’ IMPACT ON STOCK PRICE: A CASE STUDY
Journal of Security and Sustainability Issues, 2020Fluctuation of stock price in commercial banks in developing countries such as Vietnam will reflect the business health of bank system and the whole economy.
D. Huy, Pham Minh Dat, P. Anh
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Finance and Credit, 2022
Subject. This article deals with stock pricing factors. Objectives. The article aims to identify factors affecting the share prices of Russian companies. Methods. For the study, I used content, logical, and comparative analyses. Results. The article describes the factors that influence the price of a company's shares, but are not always directly ...
openaire +1 more source
Subject. This article deals with stock pricing factors. Objectives. The article aims to identify factors affecting the share prices of Russian companies. Methods. For the study, I used content, logical, and comparative analyses. Results. The article describes the factors that influence the price of a company's shares, but are not always directly ...
openaire +1 more source
Intangible Intensity and Stock Price Crash Risk
Journal of Corporate Finance, 2020We evaluate the association between intangible intensity and stock price crash risk for U.S. listed firms from 1983 to 2017. The results show that intangible-intensive firms are associated with high crash risk.
Kai Wu, Seiwai Lai
semanticscholar +1 more source