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1. Delta-hedging in fractional volatility models

   https://doi.org/10.1007/s10436-022-00415-w  

   Zhao, Qi; Chronopoulou, Alexandra (October 2022, Annals of Finance)

   In this paper, we propose a delta-hedging strategy for a long memory stochastic volatil- ity model (LMSV). This is a model in which the volatility is driven by a fractional Ornstein–Uhlenbeck process with long-memory parameter H. We compute the so- called hedging bias, i.e. the difference between the Black–Scholes Delta and the LMSV Delta as a function of H, and we determine when a European-type option is over-hedged or under-hedged. 

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2. KrigHedge: Gaussian Process Surrogates for Delta Hedging

   https://doi.org/10.1080/1350486X.2022.2039250  

   Ludkovski, Mike; Saporito, Yuri (July 2021, Applied Mathematical Finance)
3. Bet-hedging in innate and adaptive immune systems

   https://doi.org/10.1093/emph/eoac021  

   Tate, Ann T; Van Cleve, Jeremy (January 2022, Evolution, Medicine, and Public Health)

   Abstract Immune system evolution is shaped by the fitness costs and trade-offs associated with mounting an immune response. Costs that arise mainly as a function of the magnitude of investment, including energetic and immunopathological costs, are well-represented in studies of immune system evolution. Less well considered, however, are the costs of immune cell plasticity and specialization. Hosts in nature encounter a large diversity of microbes and parasites that require different and sometimes conflicting immune mechanisms for defense, but it takes precious time to recognize and correctly integrate signals for an effective polarized response. In this perspective, we propose that bet-hedging can be a viable alternative to plasticity in immune cell effector function, discuss conditions under which bet-hedging is likely to be an advantageous strategy for different arms of the immune system, and present cases from both innate and adaptive immune systems that suggest bet-hedging at play. 

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4. Quadratic Hedging of Commodity and Energy Cash Flows

   https://doi.org/10.1561/0200000089  

   Secomandi, Nicola (January 2018, Foundations and Trends® in Technology, Information and Operations Management)
5. Hedging Against Sore Loser Attacks in Cross-Chain Transactions

   https://doi.org/10.1145/3465084.3467904  

   Xue, Yingjie; Herlihy, Maurice (July 2021, Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing)

   null (Ed.)

   A sore loser attack in cross-blockchain commerce rises when one party decides to halt participation partway through, leaving other parties' assets locked up for a long duration. Although vulnerability to sore loser attacks cannot be entirely eliminated, it can be reduced to an arbitrarily low level. This paper proposes new distributed protocols for hedging a range of cross-chain transactions in a synchronous communication model, such as two-party swaps, n-party swaps, brokered transactions, and auctions. 

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