Academic literature on the topic 'Cross-commodity'
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Journal articles on the topic "Cross-commodity"
Ding, Shusheng, and Yongmin Zhang. "Cross market predictions for commodity prices." Economic Modelling 91 (September 2020): 455–62. http://dx.doi.org/10.1016/j.econmod.2020.06.019.
Full textKunkler, Michael. "Commodity Market Heterogeneity and Cross-Market Integration." Applied Finance Letters 6, no. 01 (December 6, 2017): 16–27. http://dx.doi.org/10.24135/afl.v6i01.61.
Full textMeyers, William H., S. Devadoss, and Michael D. Helmar. "Agricultural trade liberalization: Cross-commodity and cross-country impact products." Journal of Policy Modeling 9, no. 3 (September 1987): 455–82. http://dx.doi.org/10.1016/0161-8938(87)90025-1.
Full textDoncova, Olesya, and V. Zas'ko. "Institutional Framework for Cross-Border Commodity Trade." Scientific Research and Development. Economics of the Firm 9, no. 3 (October 7, 2020): 43–48. http://dx.doi.org/10.12737/2306-627x-2020-43-48.
Full textJaimungal, Sebastian, and Vladimir Surkov. "Lévy-Based Cross-Commodity Models and Derivative Valuation." SIAM Journal on Financial Mathematics 2, no. 1 (January 2011): 464–87. http://dx.doi.org/10.1137/100791609.
Full textWang, Qing, and Yiming Hu. "Cross-correlation between interest rates and commodity prices." Physica A: Statistical Mechanics and its Applications 428 (June 2015): 80–89. http://dx.doi.org/10.1016/j.physa.2015.02.053.
Full textBörger, Reik, Álvaro Cartea, Rüdiger Kiesel, and Gero Schindlmayr. "Cross-commodity analysis and applications to risk management." Journal of Futures Markets 29, no. 3 (March 2009): 197–217. http://dx.doi.org/10.1002/fut.20359.
Full textBenet, Bruce A. "Commodity futures cross hedging of foreign exchange exposure." Journal of Futures Markets 10, no. 3 (June 1990): 287–306. http://dx.doi.org/10.1002/fut.3990100307.
Full textLi, Bin, Cheng Sun, and Yang Zhou. "The cross section of Chinese commodity futures return." Journal of Management Science and Engineering 6, no. 2 (June 2021): 146–64. http://dx.doi.org/10.1016/j.jmse.2021.03.001.
Full textChen, Hsiu-Lang. "Cross-Market Investor Sentiment in Commodity Exchange-Traded Funds." Credit and Capital Markets – Kredit und Kapital 48, no. 2 (June 2015): 171–206. http://dx.doi.org/10.3790/ccm.48.2.171.
Full textDissertations / Theses on the topic "Cross-commodity"
Palumbo, John C., Peter C. Ellsworth, and Timothy J. Dennehy. "Cross-commodity Guidelines for Neonicotinoid Insecticides in Arizona." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2003. http://hdl.handle.net/10150/146722.
Full textArizona enjoys a sustained recovery from the devastating whitefly outbreaks of the early 1990's. This success is built on an IPM strategy that includes the use of selective and effective chemistry. Admire has been a key soil insecticide protecting vegetables and produce throughout Arizona and is the first member of a burgeoning class of chemistry known as the neonicotinoids. New members of this valuable, reduced-risk, class of chemistry are now available to agricultural producers, placing a burden on users of these compounds to adopt rational plans for sustaining their efficacy. This consensus document represents our best guess efforts to limit and share this chemistry among different agricultural interests. Our goal is to preserve the long-term efficacy of the neonicotinoids and protect growers' interests in sustainable and economical whitefly management. Through identification of crop communities (i.e., "multi-crop", "cotton-intensive", and "cotton/melon") common to Arizona agriculture, we have sculpted sensible plans of use that should allow access to this valuable chemistry for everyone, while protecting it from resistance.
Palumbo, John, Peter Ellsworth, Kai Umeda, Tim Dennehy, Mike Arbogast, Lin Evans, Todd Hannan, Ed Minch, and Bob Nichols. "Cross Commodity Management of Whiteflies and Chemical Efficacy in Arizona." College of Agriculture, University of Arizona (Tucson, AZ), 1999. http://hdl.handle.net/10150/219980.
Full textTurner, Peter Alistair. "Determining the Optimal Commodity and Hedge Ratio for Cross-Hedging Jet Fuel." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27250.
Full textUpper Great Plains Transportation Institute (UGPTI)
Nolte, Kurt, Mike Ottman, Trent Teegerstrom, and Guangyao (Sam) Wang. "Minimum tillage for wheat following winter vegetables." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2010. http://hdl.handle.net/10150/146999.
Full textWheat Production on Lettuce Beds
In 2009, over 56,000 acres were planted to wheat in Arizona, all of which following either a lettuce or cotton crop. For wheat grown in the region, the conventional tillage sequence prior to planting can be tied to as many as seven field operations that consume valuable time, labor, and resources. In this study, our aim was to determine the effectiveness of reducing the number tillage (minimum till) operations in fields immediately following lettuce harvest. And demonstrate to Southwest wheat producers a means for conserving time, fuel, and resources. Growing wheat on lettuce beds immediately following lettuce harvest did not significantly reduce grain yield or quality. Although the regrowth of the previous crop can have significant implications for Durum grown with minimum tillage if not managed effectively, lodging was not a significant factor in this study as the degree of lodging was similar in both growing systems. The significant savings in fuel, labor and time, with no apparent reduction in Durum yield or quality, may be a significant benefit to wheat producers who incorporate minimum tillage practices following a lettuce crop.
Borg, Elin, and Ilya Kits. "Dependence Structures between Commodity Futures and Corresponding Producer Indices across Varying Market Conditions : A cross-quantilogram approach." Thesis, Linköpings universitet, Nationalekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166940.
Full textAndreasson, Pierre, and Jonathan Siverskog. "Cross-market linkages and the role of speculation in agricultural futures markets." Thesis, Linköpings universitet, Nationalekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120605.
Full textIsleimeyyeh, Mohammad. "Financialization of Commodity : the Role of Financial Investors in Commodity Markets." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED068/document.
Full textThis dissertation studies the role of financial investors on commodity markets, which is referred as financialization of commodity. The content of the dissertation splits to theoretical and empirical work. The implemented researches are motivated by the participation of investors, who own stock portfolios, in commodity futures markets for diversification reasons. Furthermore, that diversification is likely achieved by investing in a basket of commodities. The first chapter investigates, theoretically, the interaction between commodity and stock markets. The second chapter studies, empirically, the impact of financial investors on the commodities futures risk premium. It focuses on studying three commodities: crude oil (WTI), heating oil and natural gas. The third chapter examines, theoretically, the integration between two commodity markets. We clarify the hesitating of the previous literature in finding evidences of the impact of financialization. We confirm the influential power of investment in commodity market. However, that depends on the financial investors positions taken in the futures market. Generally, financialization increases the spot prices, the futures prices and inventory levels. We find, also, that investors are a transmission channel between commodity markets. Their effects spread out restricted to the cross commodity markets correlation. Finally, stock market returns became effective determinant of the futures risk premium after 2008 financial crisis. Also, the effect of the stock returns indifferent between short and long maturities
Isiugo, Uche C. "Feats and Failures of Corporate Credit Risk, Stock Returns, and the Interdependencies of Sovereign Credit Risk." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2221.
Full textCheng, Yu-Ju, and 鄭郁儒. "Cross Hedging with Commodity Futures in China." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/42576684723308609356.
Full text淡江大學
財務金融學系碩士班
99
This study primarily examines the cross-hedging performance with the most actively traded contract, soybean oil futures on Dalian Commodity Exchange. Unlike previous studies, we constructed two market indices for agribusiness companies listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange as proxy for stock market performance. Based on the bivariate GARCH-type framework, important evidences are illustrated in our empirical results and it provides global traders with worthwhile implications for optimal utilization of futures contracts. To improve the weakness of symmetric GARGH model, we employ the GJR-GARCH model to capture the asymmetric effect in volatility of financial variables. Owing to the implementation of the split share structure reform in 2005, more tradable shares on stock market might lead to a substantial increase in liquidity. Further, since the existence of the cycle in agricultural crop production, the hedge period length and hedging frequency serve a vital role in agricultural futures hedging. Our finding offers insightful suggestion for domestic individuals and institutional shareholders who suffer from the price fluctuation in agricultural market.
Hsu, Yu-Chen, and 徐語辰. "Application of Cross-Commodity Statistical Arbitrage Base on Dynamic Cointegration." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/p9cq6w.
Full text國立政治大學
金融學系
107
This paper used the statistic arbitrage method according to Vidyamurthy (2004) and other papers based on this book. This paper followed papers to conduct empirical research on Chicago Mercantile Exchange market. The models used in this paper is two-steps cointegration test that proposed by Engle and Granger (1987). We tested CME futures through the above models to test cointegration, and find the investable pairs. After finding out investable pairs, we used Bollinger Band and OU process to find out abnormal stock price to trade. Then we constructed the portfolio to study its performance. This study further adds the median reversal law by Andrew(2009) to predict cointegral residual and constructs a strategy with Bollinger Band and OU process model. The result shows that the strategy helping us find market neutral return, which is the same as the result of Avellaneda and Lee (2010). Furthermore, our portfolio is also better than investing in benchmark. Median reversal law truly helps us reduce trading frequency and decrease drawdown. Keywords:Cointegration、Statistic Arbitrage、Bollinger Band、OU Process、Median Reversal Law
Books on the topic "Cross-commodity"
Davis, H. Craig. Some considerations & empirical evidence of regional commodity cross-hauling. Vancouver: University of British Columbia, School of Community & Regional Planning, 1985.
Find full textMuhammad, Farid. Cross-border trade and commodity prices of principal food items. [Dhaka]: International Food Policy Research Institute, Bangladesh Food Policy Project, 1994.
Find full textDavis, H. C. Some considerations and empirical evidence of regional commodity cross-hauling. Vancouver, B.C: University of British Columbia - School of Community and Regional Planning, 1985.
Find full textBuchinsky, Moshe. Leads and lags in commodity prices: An application of cross-spectral analysis. [s.l.]: World Bank, 1987.
Find full textColby, Hunter. Cross-commodity analysis of China's grain sector: Sources of growth and supply response. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 2000.
Find full textColby, Hunter. Cross-commodity analysis of China's grain sector: Sources of growth and supply response. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 2000.
Find full textColby, Hunter. Cross-commodity analysis of China's grain sector: Sources of growth and supply response. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 2000.
Find full textSzlendak, Tomasz. Supermarketyzacja: Religia i obyczaje seksualne młodzieży w kulturze konsumpcyjnej. Wrocław: Wydawn. Uniwersytetu Wrocławskiego, 2004.
Find full textCross-commodity analysis of China's grain sector: Sources of growth and supply response. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 2000.
Find full textXinshen, Diao, Somwaru Agapi, and United States. Dept. of Agriculture. Economic Research Service, eds. Cross-commodity analysis of China's grain sector: Sources of growth and supply response. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 2000.
Find full textBook chapters on the topic "Cross-commodity"
Barndorff-Nielsen, Ole E., Fred Espen Benth, and Almut E. D. Veraart. "Cross-Commodity Modelling by Multivariate Ambit Fields." In Commodities, Energy and Environmental Finance, 109–48. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2733-3_5.
Full textKury, Ted. "Quantifying Cross-Commodity Risk in Portfolios of Futures Contracts." In The Handbook of Commodity Investing, 335–57. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118267004.ch14.
Full textThömmes, Myriam, and Peter Winker. "Multivariate Modelling of Cross-Commodity Price Relations Along the Petrochemical Value Chain." In Algorithms from and for Nature and Life, 427–35. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00035-0_43.
Full textMa, Jing, Xiaofeng Li, Chi Li, Bo He, and Xiaoyu Guo. "Machine Learning Based Cross-border E-Commerce Commodity Customs Product Name Recognition Algorithm." In PRICAI 2019: Trends in Artificial Intelligence, 247–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29894-4_19.
Full textSriboonchitta, Songsak, Jianxu Liu, and Aree Wiboonpongse. "Vine Copula-Cross Entropy Evaluation of Dependence Structure and Financial Risk in Agricultural Commodity Index Returns." In Modeling Dependence in Econometrics, 275–87. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03395-2_18.
Full textKumar, Arya. "Strategic Decision in Long and Short Run for Cross-Country Commodity Market in the Post-COVID 19 Era." In Algorithms for Intelligent Systems, 167–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4236-1_10.
Full textTorab, Azam. "Conditional Gifts for the Saints: “Gift” and “Commodity” as Gender Metaphors in Shi’a Ritual Practices in Iran." In Sophia Studies in Cross-cultural Philosophy of Traditions and Cultures, 139–57. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43189-5_10.
Full textLawrence, Kira, Alisa Maas, Neera Pradhan, Treschiel Ford, Jacqueline Shinker, and Amy Ulinski Banic. "Investigation of Interaction Modalities Designed for Immersive Visualizations Using Commodity Devices in the Classroom." In Design, User Experience, and Usability. Health, Learning, Playing, Cultural, and Cross-Cultural User Experience, 209–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39241-2_24.
Full text"Cross-Commodity Linkages." In The Economics of Commodity Markets, 177–239. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118710098.ch5.
Full textMerleaux, April. "Commodity Cultures and Cross-Border Desires." In Sugar and Civilization, 107–24. University of North Carolina Press, 2015. http://dx.doi.org/10.5149/northcarolina/9781469622514.003.0005.
Full textConference papers on the topic "Cross-commodity"
Liu, Ruofeng, Zhimeng Yin, Wenchao Jiang, and Tian He. "XFi: Cross-technology IoT Data Collection via Commodity WiFi." In 2020 IEEE 28th International Conference on Network Protocols (ICNP). IEEE, 2020. http://dx.doi.org/10.1109/icnp49622.2020.9259363.
Full textZhang, Liyi, Zhenyun Zhang, and Yi Zhang. "A New Cross-Language Commodity Information Retrieval Approach in Book Searching." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.245.
Full textPier, Naomi M. "Proactive resistance management ofBemisia tabaciin the cross-commodity systems of Arizona and California." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.113658.
Full textQiao, Baoxing, Zhipeng Fan, Ran Wang, Zhijie Zhao, and Hongjie Zhang. "A Comparative Study of Image Features and Similarity Measurement Methods in Cross-modal Retrieval of Commodity Images." In 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2020. http://dx.doi.org/10.1109/aeeca49918.2020.9213585.
Full textCHEN, Ying, and Hui-lin YAO. "Countermeasures for the Development of Yiwu’s Small Commodity Export Under the Background of Cross-Border E-commerce." In 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210407.188.
Full textZhao, Hongrui, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, and Fei Wu. "Dress like an Internet Celebrity: Fashion Retrieval in Videos." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/147.
Full textGent, Stephen P., Michael P. Twedt, and Chad R. Abrahamson. "Experimentally Investigating the Thermal Effects of Cross Flow Corn Drying." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86970.
Full textMedeiros, Albertina Pereira, Silene Seibel, Renato Natal Jorge, and Anto´nio Augusto Fernandes. "Lean Thinking and Product Innovation in the Furniture Industry." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86630.
Full textKumstát, Michal, Martin Sebera, and Michal Vičar. "The Effects Of Commercially Available Energy Drink On Cognitive Performance." In 12th International Conference on Kinanthropology. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9631-2020-7.
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