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10 articles for “commodity market”

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Research ArticleOpen accessEvery word in the titleEfficiency and Forecast Performance of Commodity Futures MarketsBernardina Algieri, Matthias KalkuhlThe present study empirically investigates market efficiency and the potential factors of inefficiency in the main non-energy commodity futures markets: maize, soybeans and wheat. With efficient markets, futures prices can be used as commodity price forecasts, with inefficient markets futures prices are not able to predict spot prices. Technically, exploring the drivers of inefficiency means to assess the determinants of … …American Journal of Economics and Business Administration, Vol. 11, Issue 1 · 10 Jun 2019 · 8,375 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDissecting Two Approaches to Energy PricesJulius N. Esunge, Andrew Snyder-BeattieProblem statement: This research tested the viability of Geometric Brownian Motion as a stochastic model of oil prices. Approach: Using autoregressions and unit root tests, we determined that oil prices tend not to exhibit the Markov Property and thus GBM may be a problematic model. Results: Instead, oil prices seem to be mean reverting over the long run, possibly following … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,100 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 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
Research ArticleOpen accessIn the abstractPrice Volatility of Grains: Relationship with Crude Oil Price Using CCC-Multivariate GARCH ModelAreerat Todsadee, Hiroshi Kameyama, Shoichi ItoAgricultural commodities prices have increased and become significantly more volatile during the past few years periods. The high agricultural commodity prices in recent years have raised the question of whether or not volatility is increasing and leading to more frequent extreme price swings. It is very important to quantify price variability of agricultural products. This paper measures the volatility of … …American Journal of Economics and Business Administration, Vol. 6, Issue 4 · 2 Jan 2015 · 6,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractTURNING WASTE INTO USABLE PRODUCTS: A CASE STUDY OF EXTRACTING CHITOSAN FROM BLUE CRABCamille Webster, Oghenekome Onokpise, Michael Abazinge et al.The purpose of this project was to develop a practical and cost efficient alternative to the current disposal of seafood waste in the North Florida region. Fortuitously, due to an unusually high turnover rate, this reconceptualization study may have turned seafood waste into a hot commodity. At least that is one conclusion one can draw from these findings. Indeed, over … …American Journal of Environmental Sciences, Vol. 10, Issue 4 · 24 Jun 2014 · 7,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Marginalization of Globally-Born Businesses: Ethnically Divided Trade in Hamburg and the World Economy-The Case of Global Persian Carpet Trade through Ethnic NetworksShahamak RezaeiProblem statement: Persian carpets have long been a major commodity in the world market, controlled by the Tehran Carpet Bazaar and the Hamburg Free Harbor. Today about 200 private traders in the Hamburg Free Harbor area export their carpets to about 10,000 private carpet traders throughout the world, these being mainly of Iranian origin. The case of Persian Carpet represents … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 7,578 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSystem Dynamics Analysis of the Determinants of the Malaysian Palm Oil PriceSahra Mohammadi, Fatimah Mohamed Arshad, Bilash Kanti Bala, Abdulla IbragimovThis paper investigates the major determinants of the Malaysian palm oil price using a system dynamics approach. System dynamics methodology is very relevant for examining the feedback relationships, non-linearity and delays exist in palm oil market. It helps understand the palm oil market structure and the resultant behavior and performance particularly On crude Palm Oil (CPO) price. The simulation results … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 10 Jul 2015 · 7,304 accessesView PDFCite