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...

This paper seeks to characterize the distribution of extreme returns for US, UK and Japanese equity indices over the years 1963–2000. In particular, the suitability of the following distributions is investigated: Normal, Frechet, Gumbel, Weibull, Generalized Extreme Value (GEV), Generalized...

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,...

Portfolio optimization problems involving value at risk (VaR) are often computationally intractable and require complete information about the return distribution of the portfolio constituents, which is rarely available in practice. These difficulties are compounded when the portfolio contains...

Value at Risk (VaR) has been used as an important tool to measure the market risk under normal market. Usually the VaR of log returns is calculated by assuming a normal distribution. However, log returns are frequently found not normally distributed. This paper proposes the estimation approach...

The purpose of the study is to estimate tail-related risk measures using extreme value theory (EVT) in the Indian stock market. The study employs a two stage approach of conditional EVT originally proposed by McNeil and Frey (2000) to estimate dynamic Value at Risk (VaR) and expected shortfall...

This paper analyzes weekly closing price data of the S&P 500 stock index and electrical insulation element lifetimes data based on generalized extreme value distribution. A new estimation method, modified maximum spacings (MSP) method, is proposed and obtained by using interior penalty function...

We analyze a sample of 64 oil and gas companies of the nonrenewable energy sector from 24 countries using daily observations on return on stock from July 15, 2003 to August 14, 2012.