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71 articles for “Stock Market”
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Research ArticleOpen accessPhrase in the titleDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,363 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleWest African Emerging Economies: Comparative Insights on Ghana’s and Nigeria’s Stock Market DevelopmentFisayo Fagbemi, John Oluwasegun AjibikeThe study examines the long-run and causal relationship between stock market development and West African emerging economies in a comparative context of Ghana and Nigeria. Based on Autoregressive Distributed Lag (ARDL) bounds test approach, the findings support the evidence of long-run cointegration between stock market development and economic growth in Ghana, whereas further evidence reveals an insignificant positive long-run impact … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 2 Dec 2022 · 6,552 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIraqi 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 · 6,537 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStock Market Development and Economic Growth in SADC RegionSanderson Abel, Nzwirashe Magomana, Beatrice Makamba, Pierre Le RouxThe study investigates the relationship between stock market development and economic growth in the Southern African Development Community (SADC) region for the period 1993-2017. The controversy around the stock market development and economic growth nexus is of concern to the SADC which has been experiencing retarded growth while their stock markets are at different levels of development. To establish the … …Journal of Social Sciences, Vol. 17, Issue 1 · 3 Jun 2021 · 7,306 accessesView PDFCite
Research ArticleOpen accessPhrase 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 accessPhrase in the titleA MATHEMATICAL ANALYSIS OF THE INCLUSION OF INSTITUTIONAL BETTING FUNDS INTO STOCK MARKET: THE CASE OF TECHNICAL AND FUNDAMENTAL PAYOFF MODELS IN HORSERACE BETTINGCraig George Leslie Hopf, Gurudeo Anand TularamHorserace win and place returns have yet to be considered seriously as portfolio inputs in financial trading markets. However there exist technical and fundamental stochastic models of parametric and nonparametric distribution that appear to optimize expected returns from win and place investing in the horserace wagering market. In this study, a complex number optimization technique is introduced and applied to … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 23 Aug 2014 · 6,794 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAnalyzing and Estimating Portfolio Performance of Bangladesh Stock MarketMd. Zobaer Hasan, Anton Abdulbasah Kamil, Adli Mustafa, Md. Azizul BatenCapital Asset Pricing Model (CAPM) is one of the most important developments in the finance literature. Simply, CAPM is a model that describes the relationship between risk and expected return. The theoretical validity of CAPM is well tested and accepted but the practical validity of CAPM is in questioned. This study is designed to analyze and estimate the portfolio performance … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 6 Feb 2013 · 8,014 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStock Market Development and Economic Growth an Empirical AnalysisVazakidis Athanasios, Adamopoulos AntoniosThis study investigated the causal relationship between stock market development and economic growth for Greece for the period 1978-2007 using a Vector Error Correction Model (VECM). Questions were raised whether stock market development causes economic growth taking into account the negative effect of interest rate on stock market development. The purpose of this study was to investigate the short-run and … …American Journal of Economics and Business Administration, Vol. 4, Issue 2 · 12 Jun 2012 · 13,868 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleForecasting the Spanish Stock Market Returns with Fractional and Non-Fractional ModelsGuglielmo Maria Caporale, Juncal Cunado, Luis A. Gil-AlanaProblem statement: The content of this note was to assess the forecasting accuracy of various models of the Spanish stock market returns. Approach: We use daily data on the IBEX 35 for the time period January 4th, 2001-March 28th, 2006 and employ both fractional and non-fractional models. Results: The results on the prediction errors for the out-of-sample forecasts indicate that … …American Journal of Economics and Business Administration, Vol. 3, Issue 4 · 8 Dec 2011 · 7,318 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,634 accessesView PDFCite