2016
DOI: 10.1007/s00780-016-0293-3
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Robust pricing and hedging under trading restrictions and the emergence of local martingale models

Abstract: We pursue the robust approach to pricing and hedging in which no probability measure is fixed, but call or put options with different maturities and strikes can be traded initially at their market prices. We allow the inclusion of robust modelling assumptions by specifying a set of feasible paths on which (super)hedging arguments are required to work. In a discrete-time setup with no short selling, we characterise absence of arbitrage and show that if call options are traded, then the usual pricinghedging dual… Show more

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Cited by 19 publications
(31 citation statements)
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“…This second situation is precisely the one considered in Cox et al (2016) in order to detect a bubble. This means that S * can always be viewed at least as the worst model price, among the models considered by the investor.…”
Section: Definition 6 the Asset Price Bubble β = (β T ) T∈[0t ] For mentioning
confidence: 95%
See 2 more Smart Citations
“…This second situation is precisely the one considered in Cox et al (2016) in order to detect a bubble. This means that S * can always be viewed at least as the worst model price, among the models considered by the investor.…”
Section: Definition 6 the Asset Price Bubble β = (β T ) T∈[0t ] For mentioning
confidence: 95%
“…Hence, in the general case, under RND any bubble would be the result of a duality gap in (35), which is the case considered in Cox et al (2016).…”
Section: Lemma 2 Suppose That For Each Q ∈ P the Q-market Model Is Comentioning
confidence: 99%
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“…Arbitrage and superhedging duality with model uncertainty or semi-static trading are studied by many researchers, see e.g. [5,11,7,28,6,9,1,3,13,14]. [11] is particularly relevant, which proves the Fundamental Theorem of Asset Pricing and superhedging duality in our setting.…”
Section: Introductionmentioning
confidence: 91%
“…The non-Markovian version of this pricing operator is known as the G-expectation [50,51]. More recently, a rich literature considering a variety of hedging instruments and underlying models has emerged; see, among many others, [1,3,9,10,23,45] for models in discrete time and [8,13,15,16,18,19,22,25,26,27,29,31,32,43,46] for continuous-time models. We refer to [30,48] for surveys.…”
Section: Introductionmentioning
confidence: 99%