The author puts forward a pricing methodology for European multi-asset derivatives that consists of a flexible copula-based method that can reproduce the correlation skew and is efficient enough for use with large baskets.
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.
In this paper, the authors propose a family of copula-based multivariate distributions with g-and-h marginals.
In this paper the authors present a dependence model for non-life insurance risk based on risk factors, analogous to those generally used for life insurance or asset risk.
In this paper time-varying tail dependence networks are constructed to investigate the complex interdependencies in the financial system.
This paper develops a copula-GARCH-MIDAS model to estimate the joint probability distribution of multivariate variables, and then derives CoVaR-type risk measures.
Systemic risk of the Chinese stock market based on the mobility measures of the marginal expected shortfall
This paper applies the dynamic mixture copula model method and proposes a mobility measure of the marginal expected shortfall to depict the changing systemic risk in China’s mainland stock market and Hong Kong’s stock market.
This paper presents new results on the nonhomogeneous bivariate compound Poisson process with a short-term periodic intensity function.
Measurement of operational risk regulatory capital in the banking sector: developed countries versus emerging markets
This paper addresses operational risk as a fundamental risk type faced by banks in emerging and developed economies.
Copulas can still deliver if chosen with due attention to intuition and data, says quant fund chair
Elliptical and Archimedean copula models: an application to the price estimation of portfolio credit derivatives
This paper explores the impact of elliptical and Archimedean copula models on the valuation of basket default swaps.
The aim of this paper is to move away from a Gaussian assumption and to provide new algorithms that can be used to implement a Markov-functional model driven by a more general class of one-dimensional diffusion processes.
Parameter estimation, bias correction and uncertainty quantification in the Vasicek credit portfolio model
This paper is devoted to the parameterization of correlations in the Vasicek credit portfolio model. First, the authors analytically approximate standard errors for value-at-risk and expected shortfall based on the standard errors of intra-cohort…
This paper develops a parsimonious model for evaluating portfolio credit derivatives dependent on aggregate loss.
Quant grads should be taught follies of LTCM, Gaussian copula and London Whale, writes UBS’s Gordon Lee
Dependence dynamics among exchange rates, commodities and the Brazilian stock market using the R-vine SCAR model
The objective of this paper is to assess the dependence dynamics among Brazilian real exchange rates, commodity prices and the Brazilian stock market using a regular vine copula combined with the stochastic autoregressive copula model.
In this paper, the authors consider wind power utilization in thirty-one different locations in Germany.
In this paper, the authors combine MS dynamic copulas with the skewed t SV model to study the optimal hedge ratios of portfolios.
The author presents a comparison between maximal and daily average production of photovoltaic and wind energy based on a transmission system operator in Germany using statistical analysis with different seasonality functions.
Quant sceptical of machine learning algos and black boxes
In this paper, a sensitivity analysis using pair–copula decomposition of multivariate dependency models is performed on estimates of value-at-risk (VaR) and conditional value-at-risk (CVaR).
In this paper, the authors focus on seven stock market indexes: two US, three European, one emerging and one Japanese. They select different pairs of markets and, with the help of wavelets, decompose these series at different timescales.
In this paper, the authors study tail dependence by defining the conditions required for all the methods used to perform and to quantify their efficiency and accuracy.
This paper assesses the model risk associated with the copula choice for the calculation of the Default Risk Charge (DRC) measure.