Monte Carlo simulation
Kernel-based estimation of spectral risk measures
The authors put forward a kernel-based estimator for spectral risk measures and compare its performance with existing SRM estimators.
US climate guidance stokes debate over defining material risks
Banks welcome flexibility, but it could lead to big divergence on climate risk management
Climate capital in the balance as EBA rejects green risk weights
European regulator suggests climate change must be factored into existing risk categories
Hedging of financial derivative contracts via Monte Carlo tree search
This paper applies the Monte Carlo tree search as a method for replication in the presence of risk and market friction
The importance of being scrambled: supercharged quasi-Monte Carlo
The authors propose a randomized quasi-Monte Carlo method which outperforms both the Monte Carlo and standard quasi-Monte Carlo methods.
Toward a unified implementation of regression Monte Carlo algorithms
The authors put forward a publicly available computational template for machine learning, named mlOSP, which presents a unified numerical implementation of RMC approaches for optimal stopping.
A general control variate method for time-changed Lévy processes: an application to options pricing
The authors put forward a novel control variate method for time-changed Lévy models and demonstrate an efficient reduction of the variance of Monte Carlo in numerical experiments.
The quintic Ornstein-Uhlenbeck model for joint SPX and VIX calibration
A new model that jointly fits the smiles of VIX and SPX is presented
Taking the measure of CMS pricing
Bank of America quants propose comprehensive framework for modelling rate derivatives
Rising star in quantitative finance: Sigurd Emil Rømer
Risk Awards 2023: Doctoral dissertation outlines more efficient way to simulate rough volatility models
Least squares Monte Carlo methods in stochastic Volterra rough volatility models
The authors offer a VIX pricing algorithm for stochastic Volterra rough volatility models where the volatility is dependent of the vol-of-vol which reproduces key features of real-world data.
Bot’s job? Quants question AI’s model validation powers
But supervisors cautiously welcome next-gen model risk management
Vega decomposition for the LV model: an adjoint differentiation approach
Introducing an algorithm for computing vega sensitivities at all strikes and expiries
Dynamic initial margin estimation based on quantiles of Johnson distributions
The authors compare JLSMC DIM estimates with those produced by two other methods, finding that the JLSMC algorithm is accurate and efficient, producing results comparable with nested Monte Carlo with an order of magnitude less computational effort.
Multilevel Monte Carlo simulation for VIX options in the rough Bergomi model
The authors consider the pricing of the Chicago Board options Exchange VIX, demonstrating experiments highlighting the efficiency of a multilevel approach in pricing of VIX options.
A multivariate model for hybrid wind–photovoltaic power production with energy portfolio optimization
The authors model the power production and income of a wind-photovoltaic energy plant to determine the portfolio that maximises profitability as well as the optimal choice between wind and photovoltaic plants.
Choice of margin period of risk and netting for computing margins in central counterparty clearinghouses: a Monte Carlo investigation
The authors provide a quantitative comparison for evaluating the impact of collecting margins in a gross-versus-net system with the margin period of risk (MPOR) set to between one and five days.
Is stochastic cross-currency basis a better way to model IM?
Using Monte Carlo model extension for forward IM calculation avoids excessive outputs for MVA
Subsampling and other considerations for efficient risk estimation in large portfolios
The authors apply multilevel Monte Carlo simulation to the problems inherent in computing risk measures of a financial portfolio with large numbers of derivatives.
Modeling the exit cashflows of private equity fund investments
This paper analyzes the realized exit cashflows of individual portfolio companies in a joint modeling framework that describes both the exit timing and the exit performance.
Chebyshev Greeks: smoothing gamma without bias
A numerical method to obtain stable deltas and gammas for complex payoffs is presented