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59 results for “financial sector”
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Research ArticleOpen accessIn the abstractStock Return, Growth and Inflation in India: Analysis of Stochastic Seasonality, Impulse Response and Multivariate GARCHPanchanan DasThis study analyses the empirical interdependence among asset returns, industrial growth and inflation after controlling for interest rate by considering stochastic seasonality and conditional volatility with monthly time series in India. The HEGY unit root test suggests that industrial growth and inflation experience only stochastic trend and no persistent stochastic behaviour at any other seasonal frequencies, while stock return follows … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 3 May 2021 · 7,344 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelational Contracting in the Building Sector in Jordan as a Substitute to Conventional Formal MethodsRazan Aleasawi, Sultan TarawnehThe socioeconomic policies within the Hashemite Kingdom of Jordan aim to enhance the Public-Private Partnership (PPP), one of the Relational Contracting models, to encourage investment, improve public services, upgrade infrastructure and boost financial resources, in line with Jordan 2025 Vision (Ministry of Municipal Affairs, 2014). The construction sector itself has a growth plan of 5% in order to meet this … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 25 Mar 2020 · 6,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime-Driven Activity-Based Costing in the Public Sector. The Case of Greek General Chemical State Laboratory under the Greek CrisisAthanasios Vazakidis, Eleftheria KyriakidouThe international globalized environment and the financial crisis have generated new demands with internals (citizens-users) and externals (creditors) pressuring the governments to control public spending and improve efficiency in the supply of public goods/services. The control of the public sector costs seems more important now, in the context of the financial and fiscal crisis of 2008. Activity Based Costing (ABC) … …Journal of Social Sciences, Vol. 16, Issue 1 · 4 Mar 2020 · 7,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltimate 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 · 8,545 accessesView PDFCite
Review ArticleOpen accessIn the abstractMachine Learning-Based Detection of Credit Card Fraud: A Comparative StudyZainab Khamees Alkhateeb, Abeer Tariq MaoloodOne of the fastest-growing problems with a high impact on the financial sector is financial fraud. Recently, data mining has been identified as one of the effective ways of detecting fraudulent credit card transactions. As a data mining problem, the detection of fraudulent credit card transaction is a challenging task due to the following reasons: (i) The frequent changes in … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 25 Dec 2019 · 7,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom 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 abstractAn Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public SectorMelissa K. Chinyemba, Jackson PhiriInsider attacks are security breaches posed by an existing or former organizational stakeholder with unrestricted access rights to the resources who, with or without intent, compromises the confidentiality, integrity and availability of organizational data. Zambian public organizations are vulnerable to insider attacks due to a number of factors that include; technology complexity, understaffing, financial gains, lack of security policies and … …Journal of Computer Science, Vol. 14, Issue 10 · 29 Oct 2018 · 8,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Development and Economic Growth in Nepal: New intuitions from a Time Series Causality MethodUttam Paudel, Satish Chandra Bhatta, Umesh KhatriGeneralized empirical evidences about impact and direction of causality between financial development and economic growth ignoring the differences of structure and other factors seem less effective to understand the contributions of financial as well as real sector development to economic growth by country specific factors in Nepal. This paper has established the short run or long run relationship and the … …Journal of Social Sciences, Vol. 14, Issue 1 · 28 Mar 2018 · 8,474 accessesView PDFCite