Calibrating Financial Models Using Consistent Bayesian Estimators
We consider a general calibration problem for derivative pricing models. We reformulate the problem into a Bayesian framework to attain posterior distributions for calibration parameters. We give conditions on the value function under which the corresponding Bayesian estimator is consistent. Finally...
Main Authors: | Gupta, A, Reisinger, C |
---|---|
Format: | Journal article |
Published: |
2011
|
Similar Items
-
Robust calibration of financial models using Bayesian estimators
by: Gupta, A, et al.
Published: (2014) -
A Bayesian approach to financial model calibration, uncertainty measures and optimal hedging
by: Gupta, A
Published: (2010) -
Application of the Bayesian calibration methodology for the parameter estimation in CoupModel
by: N. Fohrer, et al.
Published: (2009-08-01) -
Approximate Bayesian Computation for Estimating Parameters of Data-Consistent Forbush Decrease Model
by: Anna Wawrzynczak, et al.
Published: (2018-08-01) -
A generalized Bayesian approach to model calibration
by: Tohme, Tony., et al.
Published: (2020)