The authors of this paper use power series distributions to develop a novel and flexible zero-inflated Bayesian methodology.
In this paper the authors present an efficient convergent lattice method for Asian option pricing with superlinear complexity.
The authors present Sequential Monte Carlo (SMC) method for pricing barrier options.
The authors of this paper assess the right-hand tail of an insurer’s loss distribution for a specified period (a year), presenting and analyzing six different approaches in doing so.
A mixed Monte Carlo and partial differential equation variance reduction method for foreign exchange options under the Heston–Cox–Ingersoll–Ross model
The paper concerns a hybrid pricing method build upon a combination of Monte Carlo and PDE approach for FX options under the four-factor Heston-CIR model.
An exact and efficient method for computing cross-Gammas of Bermudan swaptions and cancelable swaps under the Libor market model
A new simulation algorithm for computing the Hessians of Bermudan swaptions and cancelable swaps is presented.
South African academics pioneer a quick and easy way of estimating op risk capital
The authors develop a technique, based on numerical inversion, to compute the prices and Greeks of lookback options driven by Lévy processes.
The authors propose a novel method for efficiently comparing the performance of different stopping times.
How to calculate expected future carbon costs and optimal valuation and hedging decisions, by adjusting Monte Carlo simulations for the UK market
This paper studies the problem of optimal trading using general alpha predictors with linear costs and temporary impact.
Wujiang Lou presents a framework to compute recursive CVA and FVA via Monte Carlo simulation
This paper discusses a VaR time-scaling approach based on fitting a distribution function so as to apply a Monte Carlo simulation to determine long-term VaR.
The authors propose an efficient, novel numerical scheme for solving the stochastic Heath–Jarrow–Morton interest rate model.
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.
Reghai, Kettani and Messaoud present new technique to calculate CVA using adjoints
Adaptive importance sampling techniques are widely known for the Gaussian setting of Brownian-driven diffusions. In this paper, the authors extend them to jump processes.
Vladimir Piterbarg considers a non-linear partial differentiation equation that appears in a number of XVA-related contexts, including a one-way credit-support annex, credit value adjustment with risky closeout, option pricing with differential borrowing…
This paper compares two methods of estimating LGD: a beta regression model and a multinomial logit (MNL) model.
Network-based measures as leading indicators of market instability: the case of the Spanish stock market
This paper identifies links between time series data of stock returns for the purpose of understanding the structure of the market and for identifying early-warning signals of forthcoming market stress.
Quants develop a hassle-free model that can handle negative interest rates
Risk survey shows new add-on is gaining acceptance and could reshape the swaps business
This paper studies the possibility of using Islamic forwards, which are commonly known as salam contracts, to hedge commodity risk, while respecting the principle of risk sharing.