PRICE RELATIONSHIPS FOR BEEF IN SMITHFIELD MARKET

1987 ◽  
Vol 38 (3) ◽  
pp. 489-490
Author(s):  
J. A. Murphy ◽  
J. J. O'Connell ◽  
S. Quinn
2011 ◽  
Vol 3 (1) ◽  
pp. 71 ◽  
Author(s):  
L. Boshnjaku ◽  
B. Ben-Kaabia ◽  
José M. Gil

The analysis of price relationships in commodity markets provides an approximate idea on markets performance as well as allows the researcher to analyze price responses to unanticipated shocks. The objective of this paper is to explore price relationships in geographical separated markets in the Spanish lamb sector. The methodology used is based on the specification of multivariate time series models which are flexible enough to take into account the stochastic properties of data, the multivariate nature of price relationships and to distinguish between short- and long-run horizons. Results indicate that lamb markets in Spain are strongly related being Zafra the leading market. The influence of Zafra is substantial in the southern markets while in the North, the Lonja del Ebro could be considered as the most representative market.


1958 ◽  
Vol 40 (5) ◽  
pp. 1883
Author(s):  
Herbert G. Spindler
Keyword(s):  

1978 ◽  
Vol 18 (92) ◽  
pp. 370 ◽  
Author(s):  
JM George ◽  
RA Pearse

Merino ewes were grazed for 10 years at stocking rates of 8, 12 and 16 ha-1, lambing in winter, spring or summer on a phalaris/white clover pasture on the Northern Tablelands of New South Wales. Wool production, wool yield and count, and lambing and weaning rates were established for the wide range of climatic conditions experienced. A spring lambing is indicated under the within-year price relationships experienced. Under a wide range of wool and lamb prices the optimum stocking rate varied from 12 to 16 ewes ha-1 depending on labour costs.


1991 ◽  
Vol 23 (1) ◽  
pp. 147-153 ◽  
Author(s):  
Gopal Naik ◽  
Raymond M. Leuthold

AbstractEmpirical tests were made of components of the corn basis in the U.S. utilizing a general theory of intertemporal price relationships for storable commodities. These tests showed that the basis consists of a risk premium, a speculative component, and a maturity basis apart from other factors such as storage costs for storable commodities. The results provide insights into factors affecting basis patterns for corn.


Agribusiness ◽  
2002 ◽  
Vol 18 (2) ◽  
pp. 181-196 ◽  
Author(s):  
V. Jyothi Gali ◽  
C.G. Brown
Keyword(s):  

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