Results 71 to 80 of about 283,485 (287)
Price Transmission During Promotions: A Case Study of Spanish Milk Brands
Agribusiness, EarlyView.ABSTRACT Price promotion is the marketing tool typically used by retail brands to boost sales and gain market share. In this paper, we intend to investigate the price transmission mechanism among competitive brands in Spain when price reductions that are associated with price promotions take place.
Yasmine Bedoui +2 more
wiley +1 more source
Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances [PDF]
Journal of Applied Econometrics, 2016 SummaryWe propose a new class of models specifically tailored for spatiotemporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and heteroskedastic disturbances, that is, SARAR(1, 1), by exploiting the recent advancements in score‐driven (SD) models typically used in time series econometrics.
Leopoldo Catania, Anna Gloria Billé
openaire +4 more sources
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
Agribusiness, EarlyView.ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
, 2011 Multivariate simultaneous equations models were used extensively for macroeconometric analysis when Sims (1980) advocated vector autoregressive (VAR) models as alternatives. At that time longer and more frequently observed macroeconomic time series called for models which described the dynamic structure of the variables.
openaire +3 more sources
Return and Volatility Spillovers Among Major Cotton Markets
Agribusiness, EarlyView.ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Robust estimation of the vector autoregressive model by a least trimmed squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is typically done by a least squares procedure.
Croux, Christophe, Joossens, Kristel
core
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
Agribusiness, EarlyView.ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, EarlyView.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
Independent Vector Analysis for Feature Extraction in Motor Imagery Classification
SensorsIndependent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information.
Caroline Pires Alavez Moraes +4 more
doaj +1 more source