| D. W. Mcbeth, On the Existence of equivalent local Martingale Measures, Thesis at Cornell University (1991), 70 p. |
....Q with distance kQ Gamma Q 1 k in total variation norm less than 0, we may remedy both possible defects of Q 1 : under Q the expectation of S 1 is well defined and it equals zero. The idea for the proof of this lemma goes back in the special case d = 1 and Adm = f0g to the work of D. McBeth [M91]. 3.2 Lemma. Let Q 1 be a probability measure as in lemma 3.1 and 0. Denote by B the set of barycenters B = fE Q [S 1 ] Q probability on F ; Q P; kQ Gamma Q 1 k ; and S 1 is Q integrableg Then B is a convex subset of R containing 0 in its relative interior. In particular, there is ....
....we could replace the probability measures F j by finite nonnegative measures on R . In this case we may obtain the G j in such a way that the total mass G j (R ) equals F j (R ) almost surely. To illustrate the meaning of the Crucial lemma we note a little observation in the spirit of [M91] which shows in particular the limitations of the no arbitrage theory when applied e.g. to Gaussian models for the stock returns in finite discrete time. 3.4 Proposition. Let (S t ) t=0 be an adapted R valued process based on ; F ; F t ) t=0 ; P) such that for every predictable process (h ....
D. W. Mcbeth, On the Existence of equivalent local Martingale Measures, Thesis at Cornell University (1991), 70 p.
....P ) We use the standard notation L 0 (resp. L 1 , L 1 ) for the space of all (resp. P integrable, P essentially bounded) real valued random variables on( Omega ; F ; P ) If C is a subset in a linear space, then conv C will denote the minimal convex set containing C. The work of McBeth [16], Schachermayer [19] and Delbaen and Schachermayer [5] has shown the usefulness of the following concept. Definition 5.1 The sequence (f n ) n1 is Fatou convergent to f if (f n ) n1 is uniformly bounded from below and f n f almost surely. A subset C in L 0 which is closed with respect ....
D.W. McBeth. On the Existence of Equivalent Local Martingale Measures. Master's thesis, Cornell University, 1991.
....Q with distance kQ Gamma Q 1 k in total variation norm less than 0, we may remedy both possible defects of Q 1 : under Q the expectation of S 1 is well defined and it equals zero. The idea for the proof of this lemma goes back in the special case d = 1 and Adm = f0g to the work of D. McBeth [M91]. 3.2 Lemma. Let Q 1 be a probability measure as in lemma 3.1 and 0. Denote by B the set of barycenters B = fE Q [S 1 ] Q probability on F ; Q P; kQ Gamma Q 1 k ; and S 1 is Q integrableg Then B is a convex subset of R d containing 0 in its relative interior. In particular, there ....
....could replace the probability measures F j by finite nonnegative measures on R d . In this case we may obtain the G j in such a way that the total mass G j (R d ) equals F j (R d ) almost surely. To illustrate the meaning of the Crucial lemma we note a little observation in the spirit of [M91] which shows in particular the limitations of the no arbitrage theory when applied e.g. to Gaussian models for the stock returns in finite discrete time. 3.4 Proposition. Let (S t ) T t=0 be an adapted R d valued process based on ( Omega ; F ; F t ) T t=0 ; P) such that for every ....
D. W. Mcbeth, On the Existence of equivalent local Martingale Measures, Thesis at Cornell University (1991), 70 p.
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D. W. Mcbeth (1992), On the Existence of equivalent local Martingale Measures, Thesis at Cornell University, 70 p.
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