Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading
Carol Alexander, Jun Deng, Bin Zou

TL;DR
This paper develops an optimal hedging strategy for Bitcoin futures that minimizes portfolio variance and liquidation risk, considering loss aversion and aggressive trading, with empirical validation across multiple exchanges.
Contribution
It introduces a semi-closed form solution for hedging with liquidation risk, incorporating loss aversion and trading behavior, validated through extensive empirical analysis.
Findings
Optimal strategy improves hedge effectiveness and reduces liquidation probability.
Performance varies across different exchanges and instruments.
Linkage between hedging performance and speculative trading metrics.
Abstract
We consider the hedging problem where a futures position can be automatically liquidated by the exchange without notice. We derive a semi-closed form for an optimal hedging strategy with dual objectives - to minimise both the variance of the hedged portfolio and the probability of liquidations due to insufficient collateral. The optimal solution depends on the statistical characteristics of the spot and futures extreme returns and parameters that characterise the hedger by loss aversion, choice of leverage and collateral management. An empirical analysis of bitcoin shows that the optimal strategy combines superior hedge effectiveness with a reduction in the probability of liquidation. We compare the performance of seven major direct and inverse hedging instruments traded on five different exchanges, based on minute-level data. We also link this performance to novel speculative trading…
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