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Analysis and Prediction of Healthcare Sector Stock Price Using Machine Learning Techniques
Healthcare sector stocks are a very good opportunity for investors to obtain gains faster most of the time in a year and mostly during this COVID pandemic. Purchasing a healthcare stock of a certain company indicates that you...
Volatility Transmission Between ASEAN-5 Stock Exchanges
This article aims to analyse risk transmission among the financial markets of China and ASEAN-5 in the context of the 2015 Chinese stock market crash. For this purpose, the authors test if (1) the volatility resulting from the...
Dividend changes and stock price informativeness
We investigate how private information in stock prices impacts quarterly dividend changes. We find that the positive relationship between past returns and current dividend changes strengthens when returns convey more private...
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Nexus Between Sectoral Shift and Stock Return
The objective of this study is to examine the impact of sectoral shift on the stock return of Bangladesh. This study employs auto-regressive distributive lag (ARDL) approach using the weekly data of various sectoral indices of...
Stock Return Determinants In Stock Market Movements
The purpose of this study was to examine the effect of Economic Value Added (EVA), Market Value Added (MVA), Residual Income (RI), Earnings Per Share (EPS) and Operating Cash Flow (OCF) on Stock Returns. Samples used in the...
Media Platforms and Stock Performance
Media-aware stock performance has been well recognized in recent studies. Previous research, however, focused on the content influence of the media, ignoring the manner in which the media is delivered. Based on the trust theory...
Dividend changes and stock price informativeness
We investigate how private information in stock prices impacts quarterly dividend changes. We find that the positive relationship between past returns and current dividend changes strengthens when returns convey more private...
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Evidence of different climatic adaptation strategies in humans and non-human primates.
To understand human evolution it is critical to clarify which adaptations enabled our colonisation of novel ecological niches. For any species climate is a fundamental source of environmental stress during range expansion....
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Stock Price Prediction Based on Data Mining Combination Model
Predicting stock indexes is a common concern in the financial world. This work uses neural network, support vector machine (SVM), mixed data sampling (MIDAS), and other methods in data mining technology to predict the daily...
Consumer confidence indices and stock markets’ meltdowns
Consumer confidence indices (CCIs) are a closely monitored barometer of countries’ economic health, and an informative forecasting tool. Using European and US data, we provide a case study of the two recent stock market...
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Intelligent Models for Stock Price Prediction
Prediction of the stock price is a crucial task as predicting it may lead to profits. Stock price prediction is a challenge owing to non-stationary and chaotic data. Thus, the projection becomes challenging among the investors...
Consumer confidence indices and stock markets’ meltdowns
Consumer confidence indices (CCIs) are a closely monitored barometer of countries’ economic health, and an informative forecasting tool. Using European and US data, we provide a case study of the two recent stock market...
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Living collections
Jenny Bangham
Apr 05, 2020
Biological stock centres collect, care for and distribute living organisms for scientific research. In the 1990s, several of the world's largest Drosophila (fruit fly) stock centres were closed or threatened with closure. This...
Published by: BJHS themes
CEO Exposure, Media Influence, and Stock Returns
Media-aware stock movements are well acknowledged by the behavioral finance. As the soul of a firm, CEO’s media behavior is critical to the operation of a firm. CEO’s exposure could have captured the investors’ attention and...
Short-term resource allocation during extensive athletic competition
Abstract Objectives: Following predictions from life history theory, we sought to identify acute trade-offs between reproductive effort (as measured by psychological arousal) and somatic maintenance (via functional measures of...
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Towards High Performance Stock Market Prediction Methods
Stock markets of today, and will continue to in the future, rely on the metrics of timeliness and efficiency to reach optimal profits. A way stock investors have continued to strive for the best of these two factors of the...
Forecasting urban residential stock turnover dynamics using system dynamics and Bayesian model averaging
Knowing the size of building stock is perhaps the most basic determinant in assessing energy use in buildings. However, official statistics on urban residential stock for many countries are piecemeal at best. Previous studies...
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Predicting Stock Trends Using Web Semantics and Feature Fusion
Stock data are characterized by high dimensionality and sparsity, making stock trend prediction highly challenging. Although the Light Gradient Boosting Machine (LightGBM), based on web semantics, excels at capturing global...
Efficient Prediction of Stock Price Using Artificial Neural Network Optimized Using Biogeography-Based Optimization Algorithm
Stock market price prediction has always draws more attention from researchers and analysts. Prediction of stock price is extremely tough task due to the nature of stock data. Therefore, it is needed to develop an efficient...
The Alchemy of Diversification: A Deep Dive Into the Stock-Bond Correlation
Evan Coffey
Jan 01, 0001
This research delves into the intricate dynamics of the stock-bond correlation, seeking to reveal the underlying factors that drive its fluctuations. Through a comprehensive analysis of empirical data, it investigates the...
Published by: Ursinus College
A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System
This article uses a new convolutional neural network framework, which has good performance for time series feature extraction and stock price prediction. This method is called the stock sequence array convolutional neural...
Stock prices as a leading indicator of the East Asian financial crisis
S Broome, B Morley
Feb 01, 2004
Using a basic monetary model, we assess the effectiveness of stock prices as a leading indicator of the East Asian currency crisis in 1997 and 1998. Stock prices are incorporated into a monetary model, through the wealth effect...
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Robust econometric inference for stock return predictability
This study examines stock return predictability via lagged financial variables with unknown stochastic properties. We propose a novel testing procedure that (1) robustifies inference to regressors’ degree of persistence, (2)...
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The Relationship Between Bitcoin and Stock Market
This article analyzes the relationship between Bitcoin and the stock market by using a vector autoregressive model. To enhance the impulse response signal, the Sliding Window technique is applied. Study results show the...

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