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41 results for “stock exchange”
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Research ArticleOpen accessPhrase in the titleA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,869 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRandom 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 · 10,234 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInformation 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 · 7,980 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Working Capital Turnover on Jordanian Chemical Industries’ ProfitabilityLina WarradThe chemical industry is of long-term importance to the maintain development of local economies and consider the largest industrial sectors in Jordan in terms of the exports volume which accomplished JD 1049000S in 2012. Working capital considers being a measure of company’s efficiency and its short-term financial health; moreover, it is a critical component for a business survival and a … …American Journal of Economics and Business Administration, Vol. 5, Issue 3 · 25 Feb 2014 · 7,626 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWhy the Dogs of the Dow Bark Loudly in ChinaCarol Wang, James E. Larsen, Fall M. Ainina et al.Problem statement: The Dogs of the Dow (Dow Dogs) strategy, which has gained widespread popularity in the U.S., is found to be considerably successful in China’s stock markets. This trading strategy contradicts the well-established efficient market hypothesis. Approach: This study examines the cross-sectional variations in the magnitude of the predictive power of the Dow Dogs strategy using Chinese stocks for … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 4 Nov 2011 · 8,019 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficiency Comparison of Operational and Profitability: A Case of Hong Kong Commercial BanksCheng-Ru Wu, Hui-Yin Tsai, Ya-Mei WangProblem Statement: Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. The objectives of this study were: (i) This research was shown how to use DEA by two stages, with outputs from the first stage becoming inputs in … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Garuda Indonesia Stock Price Prediction Using SVM, LSTM and Multiple Linear RegressionMuhammad Naufal Luthfi, Evaristus Didik MadyatmadjaStock shares are one of the investment products or tools that have been used by many people. Shares have interesting options for saving or investment and are able to provide attractive returns based on corporate or company growth. Many factors can affect the share prices, whether internal or external companies. This research was conducted on Garuda Indonesia's stock price with … …Journal of Computer Science, Vol. 21, Issue 4 · 25 Mar 2025 · 5,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Price Classification Based on Hybrid Feature Selection MethodSrivinay, Manujakshi B. C., Mohan Govindsa Kabadi et al.In recent years, investors and traders have used Technical Indicators (TIs) to forecast the stock market. An accurate classification model is required in the stock market to gain more profit. Selecting relevant TIs for the stock market remains a hot research topic. The proposed work aims to identify important technical indicators. Therefore, the proposed work considers a hybrid feature selection … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 6,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel 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 · 7,475 accessesView PDFCite