Gordon Ritter proposes a stable mean-variance optimisation for APT models
Lingling Cao and Pierre Henry-Labordère implement Dupire's local volatility in interest rate models
This paper uses the fractional Kelly strategies framework to show that optimal portfolios with low-beta stocks generate higher median wealth and lower intra-horizon shortfall risk.
A correlated structural credit risk model with random coefficients and its Bayesian estimation using stock and credit market information
Using historical equity and credit market data, this paper illustrates the validation of a structural correlated default model applied to Black–Cox setups.
The meaningful uncertainty simulation framework can enable energy firms to make better decisions
The authors of this paper apply a forward-looking approach to the minimum variance portfolio optimization problem for a selection of 100 stocks.
This paper aims to find determinants of the endogenous regime-switching process underlying the cointegrating relationship between natural gas and crude oil.
Value-at-risk bounds for multivariate heavy tailed distribution: an application to the Glosten–Jagannathan–Runkle generalized autoregressive conditional heteroscedasticity model
This paper aims to derive VaR bounds for the portfolios of possibly dependent financial assets for heavy tailed Glosten–Jagannathan–Runkle generalized autoregressive conditional heteroscedasticity processes using extreme value theory copulas.
This paper applies a variety of second-order finite difference schemes to the SABR arbitrage-free density problem and explores alternative formulations.
The authors of this study investigate the distributions of returns on crude oil, heating oil and natural gas futures.
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.
Estimating credit risk parameters using ensemble learning methods: an empirical study on loss given default
This study investigates two well-established ensemble learning methods: Stochastic Gradient Boosting and Random Forest, and proposed two new ensembles.
Rating-transition-probability models and Comprehensive Capital Analysis and Review stress testing: methodologies and implementation
This paper introduces a risk component called the credit index, that represents the systematic risk part of a portfolio by a list of macroeconomic variables.
The Authors introduce a closed-form approximation for the forward implied volatilities.
The convenience yield implied in the European natural gas markets: the impact of storage and weather
This paper aims to determine the convenience yield implied in the European natural gas markets by investigating driving factors and according dynamics.
Numerical solution of the Hamilton–Jacobi–Bellman formulation for continuous-time mean–variance asset allocation under stochastic volatility
The paper deals with robust and accurate numerical solution methods for the nonlinear Hamilton–Jacobi–Bellman partial differential equation (PDE), which describes the dynamic optimal portfolio selection problem.
In a simple model, Vivien Brunel establishes the properties of an operational risk model under the requirement of classification invariance
Benedict Burnett, Simon O’Callaghan and Tom Hulme introduce a new method of optimising the accuracy and time taken to calculate risk for an XVA trading book. They show how to make a dynamic choice of the number of paths and time discretisation focusing computational effort on calculations that give the most information in explaining the P&L
This paper presents a high-performance spectral collocation method for the computation of American put and call option prices.
Adjusting exponential Lévy models toward the simultaneous calibration of market prices for crash cliquets
The authors propose so-called tail thinning strategies that may be employed to better connect the calibrated models to the crash cliquets prices.
This paper shows how redemption risks of mutual funds can be modeled using the peaks-over-threshold approach from extreme value theory.