A versatile approach for stochastic correlation using hyperbolic functions
DOI10.1080/00207160.2014.1002779zbMath1335.91110OpenAlexW2137423618MaRDI QIDQ2804910
No author found.
Publication date: 6 May 2016
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2014.1002779
Fokker-Planck equationhyperbolic functionsstochastic processOrnstein-Uhlenbeck processcorrelation riskstochastic correlationQuantostochastic correlation process
Numerical methods (including Monte Carlo methods) (91G60) Derivative securities (option pricing, hedging, etc.) (91G20) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (9)
Cites Work
- The pricing of Quanto options under dynamic correlation
- Interest rate models -- theory and practice. With smile, inflation and credit
- COUNTERPARTY RISK FOR CREDIT DEFAULT SWAPS: IMPACT OF SPREAD VOLATILITY AND DEFAULT CORRELATION
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Stochastic Volatility With an Ornstein–Uhlenbeck Process: An Extension
- BILATERAL COUNTERPARTY RISK VALUATION OF CDS CONTRACTS WITH SIMULTANEOUS DEFAULTS
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A versatile approach for stochastic correlation using hyperbolic functions