Multilevel Simulation of Functionals of Bernoulli Random Variables with Application to Basket Credit Derivatives

Verfasser / Beitragende:
[K. Bujok, B. Hambly, C. Reisinger]
Ort, Verlag, Jahr:
2015
Enthalten in:
Methodology and Computing in Applied Probability, 17/3(2015-09-01), 579-604
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11009-013-9380-5  |2 doi 
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245 0 0 |a Multilevel Simulation of Functionals of Bernoulli Random Variables with Application to Basket Credit Derivatives  |h [Elektronische Daten]  |c [K. Bujok, B. Hambly, C. Reisinger] 
520 3 |a We consider N Bernoulli random variables, which are independent conditional on a common random factor determining their probability distribution. We show that certain expected functionals of the proportion L N of variables in a given state converge at rate 1/N as N → ∞. Based on these results, we propose a multi-level simulation algorithm using a family of sequences with increasing length, to obtain estimators for these expected functionals with a mean-square error of ϵ 2 and computational complexity of order ϵ −2, independent of N. In particular, this optimal complexity order also holds for the infinite-dimensional limit. Numerical examples are presented for tranche spreads of basket credit derivatives. 
540 |a Springer Science+Business Media New York, 2013 
690 7 |a Multilevel Monte Carlo simulation  |2 nationallicence 
690 7 |a Large deviations principle  |2 nationallicence 
690 7 |a Exchangeability  |2 nationallicence 
690 7 |a Basket credit derivatives  |2 nationallicence 
700 1 |a Bujok  |D K.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
700 1 |a Hambly  |D B.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
700 1 |a Reisinger  |D C.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
773 0 |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/3(2015-09-01), 579-604  |x 1387-5841  |q 17:3<579  |1 2015  |2 17  |o 11009 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11009-013-9380-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bujok  |D K.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hambly  |D B.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Reisinger  |D C.  |u Mathematical Institute, Oxford University, 24-29 St Giles, Oxford, OX1 3LB, UK  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/3(2015-09-01), 579-604  |x 1387-5841  |q 17:3<579  |1 2015  |2 17  |o 11009