Stochastic local intensity loss models with interacting particle systems
| Year of publication: |
April 2016
|
|---|---|
| Authors: | Alfonsi, Aurélien ; Labart, Celine ; Lelong, Jérõme |
| Published in: |
Mathematical finance : an international journal of mathematics, statistics and financial theory. - Malden, Mass. [u.a] : Wiley-Blackwell, ISSN 0960-1627, ZDB-ID 1073194-5. - Vol. 26.2016, 2, p. 366-394
|
| Subject: | stochastic local intensity model | interacting particle systems | loss modeling | credit derivatives | Monte Carlo algorithm | Fokker-Planck equation | martingale problem | Theorie | Theory | Stochastischer Prozess | Stochastic process | Monte-Carlo-Simulation | Monte Carlo simulation | Derivat | Derivative | Algorithmus | Algorithm | Markov-Kette | Markov chain |
-
Stochastic conditional duration model with intraday seasonality and limit order book information
Toyabe, Tomoki, (2022)
-
Particle Filters for Markov Switching Stochastic Volatility Models
Yun, Bao, (2018)
-
Hachicha, Fatma, (2022)
- More ...
-
A closed-form extension to the Black-Cox model
Alfonsi, Aurélien, (2012)
-
A pure dual approach for hedging Bermudan options
Alfonsi, Aurélien, (2025)
-
Lelong, Jérõme, (2020)
- More ...