Risk and Stochastics 2019
DOI: 10.1142/9781786341952_0007
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Enlargement of Filtration in Discrete Time

Abstract: We present some results on enlargement of filtration in discrete time. Many results known in continuous time extend immediately in a discrete time setting. Here, we provide direct proofs which are much more simpler. We study also arbitrages conditions in a financial setting and we present some specific cases, as immersion and pseudo-stopping times for which we obtain new results.

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Cited by 3 publications
(6 citation statements)
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“…They spawned two main models that have been extensively discussed since in the literature: the initial enlargement model under Jacod's hypothesis which assumes the equivalence between the conditional laws of G with respect to F and the law of G (see Jacod [41]), and the progressive enlargement model (where G is N 0 -valued and G is the smallest filtration satisfying usual conditions and making G a stopping time) with honest times (see Barlow [10], Jeulin and Yor [43]). Besides, all related results extend immediately in a discrete time setting as highlighted by Blanchet-Scalliet, Jeanblanc and Romero in [15], most of them simply stemming from Doob's decomposition. For a comprehensive review of the deep results on the enrichment of filtrations the reader can refer to the lecture notes of Mansuy and Yor [48] and with a view to financial purposes in the book of Aksamit and Jeanblanc [5].…”
Section: Introductionmentioning
confidence: 62%
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“…They spawned two main models that have been extensively discussed since in the literature: the initial enlargement model under Jacod's hypothesis which assumes the equivalence between the conditional laws of G with respect to F and the law of G (see Jacod [41]), and the progressive enlargement model (where G is N 0 -valued and G is the smallest filtration satisfying usual conditions and making G a stopping time) with honest times (see Barlow [10], Jeulin and Yor [43]). Besides, all related results extend immediately in a discrete time setting as highlighted by Blanchet-Scalliet, Jeanblanc and Romero in [15], most of them simply stemming from Doob's decomposition. For a comprehensive review of the deep results on the enrichment of filtrations the reader can refer to the lecture notes of Mansuy and Yor [48] and with a view to financial purposes in the book of Aksamit and Jeanblanc [5].…”
Section: Introductionmentioning
confidence: 62%
“…As stated in Lemma 1.4 of Blanchet et al [15], for two F-adapted processes U and K, U, K P 0 = 0 and ∆ U, K where we have got the second line by conditioning with respect to F t−1 and by defining the family {a j t,k, , (k, ) ∈ E 2 } by a j t,k, = E P j [∆Z j (t,k) ∆R j (t, ) ], i.e. a j t,1,1 = λ j p j t (1−λp j t ), a j t,1,−1 = 0, a j t,−1,1 = (λ j ) 2 p j t (1−p j t ) and a j t,−1,−1 = λ j (1 − p j t ) (1 − λ j ) 1 − λ j p j t .…”
Section: Proofs Of Sectionmentioning
confidence: 89%
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“…Clearly each random time satisfying the immersion property is a pseudo‐stopping time. Thus, keeping the equality true, the pseudo‐stopping time property in the definition of scriptM̲g above can be replaced by a stronger condition characterizing the immersion property, truerightQ¯[T>k|scriptFn]=Q¯[T>k|scriptFk],1emfor4.ptall1em0knN.See section 3.1.2 of Blanchet‐Scalliet, Jeanblanc, and Romero () for the discrete time context of progressive enlargement of filtration and Aksamit and Li () for connections between pseudo‐stopping times, the immersion property, and projections.…”
Section: Pricing–hedging Duality For American Optionsmentioning
confidence: 99%
“…See section 3.1.2 of Blanchet-Scalliet, Jeanblanc, and Romero (2016) for the discrete time context of progressive enlargement of filtration and Aksamit and Li (2016) for connections between pseudostopping times, the immersion property, and projections.…”
Section: Pseudo-stopping Timesmentioning
confidence: 99%