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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...
Systems & Software Design Computer Science and Information Technology Systems and Software Engineering
Published by: IGI Global Scientific Publishing
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...
Published by: IGI Global Scientific Publishing
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...
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...
Published by: IGI Global Scientific Publishing
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...
Published by: IGI Global Scientific Publishing
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...
economic value added Market Value Added Residual Income Earnings Per Share Operating Cash Flow Stock Return No
Published by: Indonesia Strategic Sustainability
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...
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...
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...
Published by: IGI Global Scientific Publishing
Stock prices as a leading indicator of the East Asian financial crisis
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...
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...
Published by: IGI Global Scientific Publishing
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...
stock-bond correlation inflation rate unemployment rate Federal Reserve market volatility economic growth Business Economics Finance and Financial Management Portfolio and Security Analysis
Published by: Ursinus College
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...
Published by: IGI Global Scientific Publishing
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...
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...
Published by: IGI Global Scientific Publishing
Stock prices as a leading indicator of the East Asian financial crisis
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...
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...
Stock Market Prediction big data Machine Learning Neural Networks System Assisted Trading Parallelization Business Analytics Computer Sciences Data Science
Published by: Harrisburg University of Science and Technology
Prediction of the Stock Market From Linguistic Phrases
Automation of financial data collection, generation, accumulation, and interpretation for decision making may reduce volatility in the stock market and increase liquidity occasionally. Thus, future markets' prediction factoring...
Published by: IGI Global Scientific Publishing
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...
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...
Published by: IGI Global Scientific Publishing
Stock market risk in the financial crisis
In this paper, we look at the effect of the financial crisis from an angle overlooked to date in the finance literature by investigating composition effects arising from the financial crisis. A composition effect is a change in...
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...
Published by: IGI Global Scientific Publishing
A Least-Loss Algorithm for a Bi-Objective One-Dimensional Cutting-Stock Problem
This article presents a new model and an efficient solution algorithm for a bi-objective one-dimensional cutting-stock problem. In the cutting-stock—or trim-loss—problem, customer orders of different smaller item sizes are...
Published by: IGI Global Scientific Publishing
Loss sensitive investors and positively biased analysts in Hong Kong stock market
Taufiq Choudhry, Gishan Dissanaike, Ranadeva Jayasekera, Woo-Young Kang, Matthias Nnadi
Sep 22, 2021
Abstract: The Hong Kong stock market is known to be highly volatile. Professional investors have a strong demand for timely information because of the infrequent nature of Hong Kong analysts’ interim reports (Cheng et al....
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