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18 results for “market modeling”

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Research ArticleOpen accessIn the abstractA 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 · 6,874 accessesView PDFCite
Review ArticleOpen accessIn the abstractGlobal Supply Chain Risk ManagementMouad Ben-Faress, Abdelmajid Elouadi, Driss GreteteToday’s global supply chain structure and organizations are characterized by high physical volume variation, information and financial flow exchanges with several amount of data from supplier to the final customer, as a consequence of Market changes and customer behavior impacting the supply chain and its different actors. As part of a systematic approach we will start our research by studying … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 8 Apr 2019 · 7,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants Factors of Agricultural Extension Services Performance and Impacts on Farmers' BehaviorMuh. Hatta Jamil, Amri Jahi, Muhammad Arsyad et al.Agricultural extension plays an important role in improving the quality of human resources, also it function as a learning process for the main actors so that farmer will be able to help and organize themselves in accessing market information, technology, capital and other resources. Problem that arise among stakeholders have been widely debated. Since then, determinant factor of Agricultural Extension … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 1 · 2 Feb 2017 · 8,791 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Multivariate Time Series Forecasting ModelsMiss Lei WangIn this study, the focus is to collect and summarize various advanced forecasting models for multivariate time series dataset. We have discussed about the inherent forecasting strengths and weaknesses related to these time series modelings. Also, the main section deal with the experience of using such data in econometric analysis. Besides, the implementation of SAS and R softwares improve the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 21 Dec 2018 · 7,323 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModeling User Experience in Delivery Applications Using the Design Thinking Method and System Usability ScaleKevin Christianto, Aziza Chakir, Johanes Fernandes Andry et al.Technological developments bring comfort and ease to users in accessing applications. Companies need to design systems that are centered on human needs to create technology that is competitive in the market, especially in the field of expeditions. The problem that arises in the sea cargo expedition company is that master data recording is still done manually, which has an impact … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 6,006 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEvaluation Model of MechatronizabilityJean Bosco Samon, Brice Landry Tekam GuessomCompetitiveness pushes companies to redefine their production units to offer multifunctional products. The integration of several functions requires the marriage of several disciplines of mechatronics that it is necessary to measure its dimension of integration. Because the problem of the designers or the professionals of the mechatronics is the one to know the level or the degree of the mechatronics … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 4 Aug 2022 · 5,548 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLog-Moment Estimators for the Generalized Linnik and Mittag-Leffler Distributions with Applications to Financial ModelingDexter O. Cahoy, Wojbor A. WoyczyńskiWe propose formal estimation procedures for the parameters of the generalized, heavy-tailed three-parameter Linnik gL(α, µ, δ) and Mittag-Leffler gML(α, µ, δ) distributions. The paper also aims to provide guidance about the different inference procedures for the different two-parameter Linnik and Mittag-Leffler distributions in the current literature. The estimators are derived from the moments of the log-transformed random variables and … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Aug 2018 · 7,358 accessesView PDFCite