2017
DOI: 10.1007/s11147-017-9137-3
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Optimal discrete hedging of American options using an integrated approach to options with complex embedded decisions

Abstract: In order to solve the problem of optimal discrete hedging of American options, this paper utilizes an integrated approach in which the writer's decisions (including hedging decisions) and the holder's decisions are treated on equal footing. From basic principles expressed in the language of acceptance sets we derive a general pricing and hedging formula and apply it to American options. The result combines the important aspects of the problem into one price. It finds the optimal compromise between risk reducti… Show more

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Cited by 2 publications
(2 citation statements)
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“…In this area, in which existing approaches fail, our framework proves most fruitful and can be used to generate new insights. Gerer and Dorfleitner (2016) apply our results to the problem of pricing and realistically hedging American options featuring a complex interplay between exercise and hedging decisions. Based on the results provided in this article, they provide the optimal solution to the full problem, which is -to our knowledge -the first of its kind.…”
Section: Resultsmentioning
confidence: 98%
“…In this area, in which existing approaches fail, our framework proves most fruitful and can be used to generate new insights. Gerer and Dorfleitner (2016) apply our results to the problem of pricing and realistically hedging American options featuring a complex interplay between exercise and hedging decisions. Based on the results provided in this article, they provide the optimal solution to the full problem, which is -to our knowledge -the first of its kind.…”
Section: Resultsmentioning
confidence: 98%
“…Black and Cox (1976); Geske (1977), and Vidal Nunes (2011)), and contracts with complex embedded decisions (e.g. Gerer and Dorfleitner (2018), and Battauz et al (2020)). There is a vast literature on the close-to-maturity valuation of finite-maturity American options (e.g.…”
Section: Introductionmentioning
confidence: 99%