TY - JOUR
T1 - An empirical analysis of multi-period hedges
T2 - Applications to commercial and investment assets
AU - Hilliard, Jimmy E.
AU - Huang, Pinghsun
PY - 2005/6
Y1 - 2005/6
N2 - This study measures the performance of stacked hedge techniques with applications to investment assets and to commercial commodities. The naive stacked hedge is evaluated along with three other versions of the stacked hedge, including those which use exponential and minimum variance ratios. Three commercial commodities (heating oil, light crude oil, and unleaded gasoline) and three investment assets (British Pounds, Deutsche Marks, and Swiss Francs) are examined. The evidence suggests that stacked hedges perform better with investment assets than with commercial commodities. Specifically, deviations from the cost-of-carry model result in nontrivial hedge errors in the stacked hedge. Exponential and minimum variance hedge ratios were found to marginally improve the hedging performance of the stack.
AB - This study measures the performance of stacked hedge techniques with applications to investment assets and to commercial commodities. The naive stacked hedge is evaluated along with three other versions of the stacked hedge, including those which use exponential and minimum variance ratios. Three commercial commodities (heating oil, light crude oil, and unleaded gasoline) and three investment assets (British Pounds, Deutsche Marks, and Swiss Francs) are examined. The evidence suggests that stacked hedges perform better with investment assets than with commercial commodities. Specifically, deviations from the cost-of-carry model result in nontrivial hedge errors in the stacked hedge. Exponential and minimum variance hedge ratios were found to marginally improve the hedging performance of the stack.
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U2 - 10.1002/fut.20156
DO - 10.1002/fut.20156
M3 - Article
AN - SCOPUS:18844387421
SN - 0270-7314
VL - 25
SP - 587
EP - 606
JO - Journal of Futures Markets
JF - Journal of Futures Markets
IS - 6
ER -