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Research ArticleOpen accessEvery word in the titleStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,714 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSoil Organic Carbon Stock under Different Age Ranges of Cashew Agroecosystems in the Sudano-Sahelian Zone of CameroonAwé Djongmo Victor, Noiha Noumi Valery, Zapfack LouisThe aim of this study was to quantify the current soil organic carbon stock under different age ranges of cashew agroecosystems in the Sudano-Sahelian zone of Cameroon in the context of greenhouse gas emissions and land degradation. It is so crucial for combating climate change and improving ecological restoration. Random field sampling was carried out on 0-10, 10-20 and 20-30 … …American Journal of Agricultural and Biological Sciences, Vol. 15, Issue 1 · 28 Dec 2020 · 6,995 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUltimate Prediction of Stock Market Price MovementRebwar M. Nabi, Soran Ab. M. Saeed, Habibolah Bin Harron, Hamido FujitaInvestment in the stock market is currently very popular due to its economic gain. Numerous researchers’ and academicians’ work is focused on financial time series prediction due to its data availability and profitability. Therefore, this study presents the design and implementation of a novel binary classification framework to predict stock market trends. The framework is composed of data preprocessing, feature … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 8,549 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,240 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of the Texas Feed Yard Workforce: Survey of Stockperson Attitudes and Perceptions towards Euthanasia, Animal Care and Employee ValueEmily E. Ridge, Ron Gill, Courtney L. DaigleA survey was administered to Texas cattle feedyard employees (n =111) from 31 different operations measuring stockperson perception, job satisfaction and socioeconomic status using Likert statements and multiple-choice questions. Differences among employment roles (manager, pen rider, processor (those who vaccinate and implant incoming calves), doctor (non-veterinarians)) were evaluated using a Kruskal-Wallis test followed by a Multiple Comparison procedure. Managers strongly … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 28 May 2019 · 7,748 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Study on the Information Effect of Stock Lending and Borrowing and Short Selling between the Korea Stock Exchange and the New Stock ExchangeYeongsuk Cho, Youngsik KwakThe purpose of this study is to compare the information effect of Stock Lending and Borrowing (SLB) and short selling between the Korea Stock Exchange (KRX) and the New York Stock Exchange (NYSE). While most previous studies analyzed the information effect with a focus on short selling, this study links short selling to SLB and examines how SLB and short … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 4 Oct 2018 · 8,179 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInformation Contents of Short Selling Restriction and Stock Lending and Borrowing TransactionsYoungsik Kwak, Yeongsuk ChoThis study focuses on the distinctive incident in which Stock Lending and Borrowing (SLB) transaction and short selling grew continuously even during the wavering period of the Korea Composite Stock Price Index (KOSPI) in the Korea Exchange (KRX) market. The authors analyze the information contents of SLB and short selling on KOSPI financial stocks. The financial stocks were freed from … …American Journal of Economics and Business Administration, Vol. 9, Issue 2 · 26 Oct 2017 · 7,983 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated Multiple Linear Regression-One Rule Classification Model for the Prediction of Stock Price TrendLock Siew Han, Md Jan NordinOne of the main problems of predicting stock price with regression approach is overfitting a model. An overfit model becomes tailored to fit the random noise in the dataset rather than reflecting the overall population. For this it is necessary to construct an integrated regression-classification model to approximate the true model for the entire population in the dataset. The proposed … …Journal of Computer Science, Vol. 13, Issue 9 · 18 May 2017 · 7,428 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleValidation of Global Financial Crisis on Bursa Malaysia Stocks Market Companies via Covariance StructureShamshuritawati Sharif, Suzilah Ismail, Zurni Omar, Low Huey ThengThe global financial crisis of 2007 to 2009 affects the economic development around the world. It started with US in 2007 and followed by Malaysia in 2008. The purpose of this study is to validate the impact before and beginning of the crisis on seventy seven Bursa Malaysia stocks market companies. Two data sets of 2007 and 2008 were used … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 27 Oct 2016 · 7,576 accessesView PDFCite