Results 121 to 130 of about 375,970 (264)
ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa +2 more
wiley +1 more source
The Theory of Storage and Price Dynamics of Agricultural Commodity Futures: the Case of Corn and Wheat [PDF]
Using a restricted version of the BEKK model it is tested an implication of the theory of storage that supply-and-demand fundamentals affect the price dynamics of agricultural commodities. The commodities under analysis are corn and wheat.
Guillermo Benavides Perales
core
Food Security Strategy, Macroeconomic Dynamics and Food Import Sensitivity in Qatar
ABSTRACT Qatar has limited agricultural land and water resources and therefore remains highly dependent on food imports. This structural dependency makes Qatar vulnerable to external shocks such as the recent Gulf crisis, threatening food security and disrupting global supply chains. In response to previous shocks, Qatar started implementing a National
Hansini Ranjan +5 more
wiley +1 more source
Sign and size asymmetries between futures and spot prices in the markets of agricultural commodities
The goal of the present article is to examine asymmetries in sign and size among spot and futures prices in the markets of agricultural commodities of corn, hard red wheat, and soybeans.
Dimitrios Panagiotou
doaj +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Commodity Markets: Rational Expectations in Markets With Irrational Investors [PDF]
The "financialization" of commodity markets have become a concern for policy makers and market participants. What was once a market for the hedging of holding physical commodities has expanded to become a market for the diversification of financial ...
Smith, Aaron D., Wong, Teddy T.
core
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
The Futures Pricing Puzzle [PDF]
This paper models commodity futures in a rational expectations equilibrium specifically (i) incorporating the conflict of interests between Hedgers (Producers-Consumers) and Speculators and (ii) superimposing constraints to immunize the real sector of ...
M. Shahid Ebrahim, Shafiqur Rahman
core
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source

