Data/hora: 06/06/2024 15:31:26

Provedor de dados: 	31	
País: 	United States	
Título: 	Accounting for Heterogeneity in Hedging Behavior: Comparing &amp; Evaluating Grouping Methods	
Autores: 	Pennings,   Joost M.E.; Garcia,   Philip; Irwin,   Scott H.	
Data: 	2011-08-02	
Ano: 	2011	
Palavras-chave: 	Economic behavior; Heterogeneity; Hedging; Methods; Risk and Uncertainty; A10; B40; C1; D0; G0; L2; Q13.	
Resumo: 	Heterogeneity, i.e., the notion that individuals respond differently to economic stimuli, can have profound consequences for the interpretation of behavior and the formulation of agricultural policy. This paper compares and evaluates three grouping techniques that can be used to account for heterogeneity in financial behavior. Two are well established: company-type grouping and cluster analysis. A third, the generalized mixture regression model, has recently been developed and is worth considering as market participants are grouped such that their response to the determinants of economic behavior is similar. We evaluate the grouping methods in a hedging framework by assessing their ability to reflect relationships consistent with theory. The empirical findings show that the economic relationships are more consistent with theory within the groups identified by the mixture model, and suggest that researchers interested in identifying segments of the population in which participants behave in a similar manner may consider using of mixture model in the presence of heterogeneity in financial behavior.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/114787	
Relação: 	European Association of Agricultural Economists&gt;2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland	
Formato: 	13