Results 81 to 90 of about 291,412 (338)

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, Yan Jin, José María Gil   +2 more
wiley   +1 more source

Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric

Sensors, 2020
This paper proposes a novel output-only structural damage indicator by incorporating the pole-based optimal subpattern assignment distance with autoregressive models to localize and relatively assess the severity of damages for sheared structures ...
Liu Mei, Huaguan Li, Yunlai Zhou, Dawang Li, Wujian Long, Feng Xing   +5 more
doaj   +1 more source

Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance [PDF]

, 2011
In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
core  

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

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification

Sensors
Independent 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, Lucas Heck dos Santos, Denis Gustavo Fantinato, Aline Neves, Tülay Adali   +4 more
doaj   +1 more source

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, Berna Karali, Yangxuan Liu, Munisamy Gopinath   +3 more
wiley   +1 more source

Bayesian Methods in Nonlinear Time Series [PDF]

This paper reviews the analysis of the threshold autoregressive, smooth threshold autoregressive, and Markov switching autoregressive models from the Bayesian perspective.
Korenok Oleg
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, Franziska Mittag, Laura Hellstern, Sebastian Hess   +3 more
wiley   +1 more source

Pricing Dynamics in the US Hemp Market: A Vertical Price Transmission Analysis of the Hemp Value Chain

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, Tyler Mark, Patalee Buddhika Appuhamilage   +2 more
wiley   +1 more source

Neural network‐based offset‐free model predictive control for nonlinear systems

AIChE Journal, EarlyView.
Abstract This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model is augmented with an integrating disturbance model, resulting in an ...
Hesam Hassanpour, Prashant Mhaskar
wiley   +1 more source