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Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong
Information Processing & Management, 2020Stock prediction via market data analysis is an attractive research topic. Both stock prices and news articles have been employed in the prediction processes. However, how to combine technical indicators from stock prices and news sentiments from textual
Xiaodong Li, Pangjing Wu, Wenpeng Wang
semanticscholar +1 more source
Do exchange rate changes have symmetric or asymmetric effects on stock prices?
Global Finance Journal, 2016Sujata Saha
exaly +2 more sources
SSRN Electronic Journal, 2010
We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the ...
Greenwood, Robin, Thesmar, David
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We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the ...
Greenwood, Robin, Thesmar, David
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Asymmetric impact of oil prices on exchange rate and stock prices
Quarterly Review of Economics and Finance, 2019We examine the causal relation between oil prices, exchange rate and stock prices in the Indian context using the Hiemstra and Jones (1994) nonlinear Granger causality and nonlinear ARDL tests.
Satish Kumar
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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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Energy, 2019
With the shale gas revolution and the maturity of new energy technologies, the global oil-based energy pattern began to be remodeled worldwide. From the perspective of China, coal has played a dominant leading role in the energy structure.
Chuanwang Sun +4 more
semanticscholar +1 more source
With the shale gas revolution and the maturity of new energy technologies, the global oil-based energy pattern began to be remodeled worldwide. From the perspective of China, coal has played a dominant leading role in the energy structure.
Chuanwang Sun +4 more
semanticscholar +1 more source
Physical Review E, 2004
We show that the dynamics of stock prices can be accurately described as a continuous time random walk with a time dependent diffusion coefficient. The time evolution of the diffusion coefficient can be derived from tick by tick databases provided the stock price is characterized in terms of a couple of values describing the best ask and the best bid ...
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We show that the dynamics of stock prices can be accurately described as a continuous time random walk with a time dependent diffusion coefficient. The time evolution of the diffusion coefficient can be derived from tick by tick databases provided the stock price is characterized in terms of a couple of values describing the best ask and the best bid ...
openaire +3 more sources
Advances in Economics, Management and Political Sciences, 2023
As Apple becomes a world-leading technology company, it is no doubt that its stock has brought a huge amount of profit to its investors. Many investors rely on financial modules to estimate the change in stock values and make the final decision. They contribute significantly to the decision-making of investors. This paper intends to use the composition
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As Apple becomes a world-leading technology company, it is no doubt that its stock has brought a huge amount of profit to its investors. Many investors rely on financial modules to estimate the change in stock values and make the final decision. They contribute significantly to the decision-making of investors. This paper intends to use the composition
openaire +1 more source
Stock prices and macroeconomic factors: Some European evidence
International Review of Economics and Finance, 2016Amado Peiró
exaly +2 more sources
Predicting the direction of stock market prices using tree-based classifiers
The North American journal of economics and finance, 2019Predicting returns in the stock market is usually posed as a forecasting problem where prices are predicted. Intrinsic volatility in the stock market across the globe makes the task of prediction challenging.
S. Basak +4 more
semanticscholar +1 more source

