2017
DOI: 10.3982/ecta13438
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Long-Term Risk: A Martingale Approach

Abstract: A. PROOFS FOR SECTION 3 WE FIRST RECALL SOME RESULTS about semimartingale topology originally introduced by Émery (1979) (see Czichowsky and Schweizer (2006), Kardaras (2013), andCuchiero andTeichmann (2015) for recent applications in mathematical finance). The semimartingale topology is stronger than the topology of uniform convergence in probability on compacts (ucp). In the latter case, the supremum in Eq. (2.1) is only taken over integrands in the form η t = 1 [0 s] (t) for every s > 0:The following in… Show more

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Cited by 64 publications
(22 citation statements)
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“…The following theorem, proved in Qin and Linetsky (2017), gives a sufficient condition that ensures convergence to the long bond in the semimartingale topology which is stronger than the ucp convergence in Definition 1 and convergence of Tforward measures to the long forward measure in total variation, which is stronger than the strong convergence in Definition 2 (we refer to Qin and Linetsky (2017) and the on-line appendix for proofs and details). Suppose that for each t > 0 the ratio of the F t -conditional expectation of the pricing kernel S T to its unconditional expectation converges to a positive limit in L 1 as T → ∞ (under P), i.e.…”
Section: Long-term Factorization In Brownian Environmentsmentioning
confidence: 99%
See 4 more Smart Citations
“…The following theorem, proved in Qin and Linetsky (2017), gives a sufficient condition that ensures convergence to the long bond in the semimartingale topology which is stronger than the ucp convergence in Definition 1 and convergence of Tforward measures to the long forward measure in total variation, which is stronger than the strong convergence in Definition 2 (we refer to Qin and Linetsky (2017) and the on-line appendix for proofs and details). Suppose that for each t > 0 the ratio of the F t -conditional expectation of the pricing kernel S T to its unconditional expectation converges to a positive limit in L 1 as T → ∞ (under P), i.e.…”
Section: Long-term Factorization In Brownian Environmentsmentioning
confidence: 99%
“…We now recall the definitions of the long bond and the long forward measure from Qin and Linetsky (2017). Definition 2.1.…”
Section: Long-term Factorization In Brownian Environmentsmentioning
confidence: 99%
See 3 more Smart Citations