Journal of Computational Finance
ISSN:
1460-1559 (print)
1755-2850 (online)
Editor-in-chief: Christoph Reisinger
About this journal
The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments.
The journal welcomes papers dealing with innovative computational techniques in the following areas:
- Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions.
- Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation.
- Optimization techniques in hedging and risk management.
- Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis.
- Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.
Abstracting and Indexing: Scopus; Web of Science - Social Science Index; MathSciNet; EconLit; Econbiz; and Cabell’s Directory
Journal Metrics:
Journal Impact Factor: 1.417
5-Year Impact Factor: 1.222
CiteScore: 1.4
Latest papers
Efficient solution of backward jump-diffusion partial integro-differential equations with splitting and matrix exponentials
A unified approach for solving jump-diffusion partial integro differential equations is proposed.
B-spline techniques for volatility modeling
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.
Updating the option implied probability of default methodology
This paper updates the option implied probability of default (iPoD) approach recently suggested in the literature.
Importance sampling for jump processes and applications to finance
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.
SLADI: a semi-Lagrangian alternating-direction implicit method for the numerical solution of advection–diffusion problems with application to electricity storage valuations
In this paper, an efficient and novel methodology for numerically solving advection–diffusion problems is presented.
Numerical methods for the quadratic hedging problem in Markov models with jumps
In this paper algorithms are developed using the Hamilton–Jacobi–Bellman approach for parabolic partial integrodifferential equations related to the quadratic hedging strategy in incomplete markets.
Optimal investment: bounds and heuristics
The authors present a technique for finding upper bounds on the value of a portfolio in a (possibly high-dimensional) optimal investment problem.
On the application of spectral filters in a Fourier option pricing technique
When dealing with nonsmooth functions – such as a combination of a nonsmooth density and a payoff – spectral filters can be applied to deal efficiently with the so-called Gibbs phenomenon. The simplicity and effectiveness of classical filtering…
A novel Fourier transform B-spline method for option pricing
By means of B-spline interpolation, this paper provides an accurate closed-form representation of the option price under an inverse Fourier transform.
A robust set-valued scenario approach for handling modeling risk in portfolio optimization
By introducing the set-valued scenario, this paper proposes a unified robust portfolio selection approach under downside risk measures.
A simple approximation for the no-arbitrage drifts in Libor market model–SABR-family interest-rate models
This paper presents a simple approximation for the noarbitrage drifts that appear in Libor market model SABR-family term structure models.
Numerical valuation of derivatives in high-dimensional settings via partial differential equation expansions
This paper presents a new numerical approach to solving high-dimensional partial differential equations that arise in the valuation of exotic derivative securities. The resulting numerical solutions are carefully compared in terms of accuracy and run…
A novel partial integrodifferential equation-based framework for pricing interest rate derivatives under jump-extended short-rate models
Interest rate derivatives under jump-extended short-rate models have commonly been valued using lattice methods. This paper proposes a much faster and more accurate valuation method based on partial integrodifferential equations.
An efficient numerical partial differential equation approach for pricing foreign exchange interest rate hybrid derivatives
This paper discuss efficient pricing methods via a partial differential equation (PDE) approach for long-dated foreign exchange (FX) interest rate hybrids under a three-factor multicurrency pricing model with FX volatility skew.
The damped Crank–Nicolson time-marching scheme for the adaptive solution of the Black–Scholes equation
This paper deals with error estimators and mesh adaptation for a space-time finite element discretization of the basic Black-Scholes equation. An interesting modern numerical mathematical technique for a fundamental pricing equation in finance is…
Corrigendum
Multicurrency extension of the quasi-Gaussian stochastic volatility interest rate model
The density of distributions from the Bondesson class
An efficient Monte Carlo method for discrete variance contracts