Time series of financial asset values exhibit well known statistical features such as heavy tails and volatility clustering. Strongly present in some series, nonstationarity is a feature that has been somewhat overlooked. This may however be a highly relevant feature when estimating extreme...

In this paper we develop a flexible and analytically tractable framework to compute the Credit Expected Shortfall in an explit if form through Kumaraswamy (1980) distribution with both default rate and recovery rate time-varying. The default rate is assumed to follow a square root process, and...

This paper incorporates uncertainties of model risk in a stress scenario for house prices. Our approach consists of mapping the Gaussian (or other alternative) distribution quantiles to the quantiles of the empirical distribution using a statistical criterion. The mapping corrects for the...

This paper examines the relationship between systemic risk measures across 546 financial institutions in major petroleum-based economies and oil movements. In this paper, we follow two steps. In the first step, we estimate the delta conditional VaR (CoVaR) for the financial institutions and...

This paper examines the relationship between oil price movements and systemic risk of many financial institutions in major petroleum-based economies. We estimate ΔCoVaR for those institutions and thereby observe the presence of elevated increases in the levels corresponding to the subprime and...

There is ample empirical evidence on the presence of structural changes in financial time series. Structural breaks are also shown to contribute to the leptokurtosis of financial returns and explain at least partly the observed persistence of volatility processes. This paper explores whether...

Time series of financial asset values exhibit well known statistical features such as heavy tails and volatility clustering. Strongly present in some series, nonstationarity is a feature that has been somewhat overlooked. This may however be a highly relevant feature when estimating extreme...

This article is focused on comparison of Islamic and conventional bank stock volatility by VaR (Value-At-Risk) risk assessment method. The performed analysis has shown that factors affecting stock values for the different financial models are very similar, as well as that including stocks of...

Downside risk measures play a very interesting role in risk management problems. In particular, the value at risk (VaR) and the conditional value at risk (CVaR) have become very important instruments to address problems such as risk optimization, capital requirements, portfolio selection,...

Downside risk measures play a very interesting role in Actuarial Science and Mathematical Finance. In particular, the value at risk (VaR) and the expected shortfall (ES) have become very important instruments in order to address risk management problems, capital requirements, portfolio...