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Spot asset carry cost rates and futures hedge ratios
by
Xu Yuewu
, Leistikow, Dean
, Ren-Raw, Chen
in
Averages
/ Bias
/ Costs
/ Futures
/ Hedges
/ Hedging
/ Intuition
/ Ratios
2022
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Do you wish to request the book?
Spot asset carry cost rates and futures hedge ratios
by
Xu Yuewu
, Leistikow, Dean
, Ren-Raw, Chen
in
Averages
/ Bias
/ Costs
/ Futures
/ Hedges
/ Hedging
/ Intuition
/ Ratios
2022
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Journal Article
Spot asset carry cost rates and futures hedge ratios
2022
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Overview
Since the 1970s, futures hedge ratios have traditionally been calculated ex-post via economically structure-less statistical analyses. This paper proposes an ex-ante, more efficient, computationally simpler, general “carry cost rate” hedge ratio. The proposed hedge ratio is biased, but its bias is readily mitigatable via a stationary Bias Adjustment Multiplier (BAM). The 2-part intuition for the BAM and its stationarity is as follows. First, the paper reasons that the “traditional” hedge ratio should uncover the carry cost rate and shows that it does, albeit inefficiently. Then, since both the “traditional” and “carry cost rate” hedge ratios are driven by the carry cost rate, it may be that their ratio (for implementation in the same prior periods) is stationary and useful as an ex-ante BAM for the “carry cost rate” hedge ratio; the paper tests these conjectures and finds support for both. Specifically, the paper shows that the “bias-adjusted carry cost rate” hedge ratio, defined as the average product of the ex-post BAMs from prior periods and the current ex-ante “carry cost rate” hedge ratio, has higher hedge-effectiveness than that for either the “traditional” or “naive” benchmark hedge ratios in diverse real and simulated markets.
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