Evaluating Credit Counterparty Risk of American Options via Monte Carlo Methods: A Comparison of Tilley Bundling and Longstaff-Schwartz LSM
Monte Carlo methods have become a staple use in risk departments of many financial institutions as these methods are relatively fast to compute even at higher dimensions and provide risk metrics such as percentile values. Two classical methods used for derivatives with early exercise features are th...
Main Author: | Dominic Cortis |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-12-01
|
Series: | Frontiers in Applied Mathematics and Statistics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fams.2019.00060/full |
Similar Items
-
Estimating the Counterparty Risk Exposure by Using the Brownian Motion Local Time
by: Bonollo Michele, et al.
Published: (2017-06-01) -
Counterparty Credit Limit: Identifikasi, Pengukuran dan Pemetaan Risiko Bank-Bank di Indonesia
by: Saur Costanius Simamora
Published: (2021-06-01) -
Modelling Counterparty Credit Risk in Czech Interest Rate Swaps
by: Lenka Křivánková, et al.
Published: (2017-01-01) -
Interactions of Logistic Distribution to Credit Valuation Adjustment: A Study on the Associated Expected Exposure and the Conditional Value at Risk
by: Yanlai Song, et al.
Published: (2022-10-01) -
AN EQUILIBRIUM MODEL FOR AN OTC DERIVATIVE MARKET UNDER A COUNTERPARTY RISK CONSTRAINT
by: KAZUHIRO TAKINO
Published: (2018-12-01)