SocGen quants propose technique to more accurately calibrate exotic options
SocGen quants calibrate local stochastic volatility models with stochastic dividends
Nomura quant proposes local volatility model that can directly calibrate to swaption smiles
An easy to calibrate and accurate swap market model is proposed
High-dimension problems can be solved with discretisation techniques
Fiorin, Callegaro and Grasselli show how discretisation methods reduce computing time in high-dimensional problems
Quants develop model that fixes a longstanding problem with pricing American options
This paper proposes a nonparametric local volatility Cheyette model and applies it to pricing interest rate swaptions.
This paper introduces a local volatility model for the valuation of options on commodity futures by using European vanilla option prices.
Andres Hernandez presents a neural network approach to speed up model calibration
The authors of this paper study the calibration of futures contracts on temperature indexes.
The authors build a whole family of local correlation models by combining the particle method with a new, simple idea.
Sponsored webinar: Moody's Analytics and Qlik
The author of this paper presents a general and path-consistent wrong-way risk (WWR) model that does not require simulation of credit and market variables simultaneously.
A reduced basis method for parabolic partial differential equations with parameter functions and application to option pricing
The authors introduce an RB space–time variational approach for parametric PPDEs with coefficient parameters and a variable initial condition.
Lingling Cao and Pierre Henry-Labordère implement Dupire's local volatility in interest rate models
A point-in-time–through-the-cycle approach to rating assignment and probability of default calibration
This paper proposes a methodology for constructing TTC rating grades and assessing the resulting degree of PIT-ness.
This paper proposes a stochastic model for coupled natural gas spot prices and temperature.
In this paper the use of B-splines is advocated for volatility modeling within the calibration of stochastic local volatility (SLV) models and for the parameterization of an arbitrage-free implied volatility surface calibrated to sparse option data.
The efficient application of automatic differentiation for computing gradients in financial applications
Automatic differentiation is the theme of this paper. The authors show that many functions in calibration and inverse problems, exhibit a natural substitution structure. A significant speedup is achieved compared with common reverse-mode AD.
The susceptibility of enterprise risk tools to poor quality data is a major issue
Disaster recovery and oversight key for utility's CRO