Private investors increasingly use passive investment strategies, i.e. investment methods that try to replicate a stock market index as accurate as possible. In this paper we compare retail index certificates and exchange traded funds. Both investment products promise a performance that...

The objective of this paper is to determine how relative market and credit risk changes among European sectors during times of extreme market fluctuations. Ten sectors comprising the S&P Euro index are compared prior to and during the Global Financial Crisis (GFC). Market risk is measured using...

Despite its recent advent, value at risk (VaR) became the most widely usedtechnique for measuring future expected risk for both financial and non-financialinstitutions. VaR, the measure of the worst expected loss over a given horizon at a givenconfidence level, depends crucially on the...

Despite its recent advent, value at risk (VaR) became the most widely used technique for measuring future expected risk for both financial and non-financial institutions. VaR, the measure of the worst expected loss over a given horizon at a given confidence level, depends crucially on the...

Value at Risk and the Expected Shortfall are two measurements of market risks for financial assets. Statistically, they are extreme quantiles of the distribution of financial log returns. Though financial log return data are usually both heteroscedastic and fatter-tailed, most of the existing...

This paper discusses the role of the credit rating agencies during the recent financial crises. In particular, it examines whether the agencies can add to the dynamics of emerging market crises. Academics and investors often argue that sovereign credit ratings are responsible for pronounced...

The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution...

In this paper, we develop modeling tools to forecast Value-at-Risk and volatility with investment horizons of less than one day. We quantify the market risk based on the study at a 30-min time horizon using modified GARCH models. The evaluation of intraday market risk can be useful to market...

The goal of this study is to estimate the impact of cross-listing on stock returns, on liquidity, and on risk. A sample of 24 companies from the Gulf Cooperation Council countries which cross-listed their stocks in a foreign market over the period 2000–2010 were chosen for study. An event...

Risk management has attracted a great deal of attention, and Value at Risk (VaR) has emerged as a particularly popular and important measure for detecting the market risk of financial assets. The quantile regression method can generate VaR estimates without distributional assumptions; however,...