Technical paper/Parametric modelling
Does the asymmetric exponential power distribution improve systemic risk measurement?
The authors use a parametric estimation for CoVaR and compare the goodness-of-fit and backtesting of AEPD with other commonly used distributions using data from the Chinese banking sector from 2008-2019.
The European intraday electricity market: a modeling based on the Hawkes process
This paper deals with the modeling of trading activity on the European electricity intraday market by a self-exciting point process.
Old-fashioned parametric models are still the best: a comparison of value-at-risk approaches in several volatility states
The authors present backtesting results for 1% and 2.5% VaR of six indexes from emerging and developed countries using several of the best-known VaR models, including generalized autoregressive conditional heteroscedasticity (GARCH), extreme value theory…
Nonparametric versus parametric expected shortfall
In this paper, the authors use influence functions as a basic tool to study unconditional nonparametric and parametric expected shortfall (ES) estimators with regard to returns data influence, standard errors and coherence.
On the correlation and parametric approaches to calculation of credit value adjustment
This paper develops a connection between the Hull–White parametric approach and the PCL correlation approach for CVA calculation.
Evaluating the performance of the skewed distributions to forecast value-at-risk in the global financial crisis
This paper models the tail behavior of daily returns and forecasting VaR in order to evaluate the performance of several skewed and symmetric distributions.
Stress testing in non-normal markets via entropy pooling
Ardia and Meucci introduce a parametric entropy pooling approach to portfolios stress testing
A historical-parametric hybrid VAR
A historical-parametric hybrid VAR
Benchmarking asset correlations
Basel II stipulates that the asset correlation to be used in calibration of obligor risk weights is20%. Here, Alfred Hamerle, Thilo Liebig and Daniel Rösch use a parametric model to empirically obtain asset correlations from a large database of…
Benchmarking asset correlations
Basel II stipulates that the asset correlation to be used in calibration of obligor risk weights is 20%. Here, Alfred Hamerle, Thilo Liebig and Daniel Rösch use a parametric model to empirically obtain asset correlations from a large database of…
Minimising extremes
Portfolio diversification often breaks down in stressed market environments, but the co-movement of asset prices in a tail risk regime may be modelled using a coefficient of tail dependence. Here, Yannick Malevergne and Didier Sornette show how such…
Style-based value-at-risk for UK equities
Risk measures
A mixed-up smile
Implied volatility
VaR-x: Fat tails in financial risk management
To ensure a competent regulatory framework with respect to value-at-risk (VaR) for establishing a bank's capital adequacy requirements, as promoted by the Basel Committee on Banking Supervision, the parametric approach for estimating VaR needs to…