scholarly journals An application to credit risk of a hybrid Monte Carlo–optimal quantization method

2013 ◽  
Vol 16 (4) ◽  
pp. 123-156 ◽  
Author(s):  
Giorgia Callegaro ◽  
Abass Sagna
2014 ◽  
Vol 20 (4) ◽  
Author(s):  
Lucia Del Chicca ◽  
Gerhard Larcher

AbstractIn this paper we analyze and compare the use of Monte Carlo, quasi-Monte Carlo and hybrid Monte Carlo methods in the credit risk management system “Credit Metrics” by J. P. Morgan. We show that hybrid sequences, used suitably for simulations, perform better, in many relevant situations, than pure Monte Carlo and pure quasi-Monte Carlo methods, and they only rarely perform worse than these methods.


2021 ◽  
Vol 265 ◽  
pp. 107978
Author(s):  
Johann Ostmeyer ◽  
Evan Berkowitz ◽  
Thomas Luu ◽  
Marcus Petschlies ◽  
Ferenc Pittler

2002 ◽  
Vol 528 (3-4) ◽  
pp. 301-305 ◽  
Author(s):  
Simon Catterall ◽  
Sergey Karamov

1988 ◽  
Vol 03 (14) ◽  
pp. 1367-1378 ◽  
Author(s):  
RAJAN GUPTA ◽  
GREGORY W. KILCUP ◽  
APOORVA PATEL ◽  
STEPHEN R. SHARPE ◽  
PHILIPPE DE FORCRAND

We show that the overrelaxed algorithm of Creutz and of Brown and Woch is the optimal local update algorithm for simulation of pure gauge SU(3). Our comparison criterion includes computer efficiency and decorrelation times. We also investigate the rate of decorrelation for the Hybrid Monte Carlo algorithm.


2018 ◽  
Vol 14 (12) ◽  
pp. 6532-6543 ◽  
Author(s):  
J. Bergsma ◽  
F. A. M. Leermakers ◽  
J. M. Kleijn ◽  
J. van der Gucht

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