In this paper we propose a new tool for backtesting that examines the quality of Value-at- Risk (VaR) forecasts. To date, the most distinguished regression-based backtest, proposed by Engle and Manganelli (2004), relies on a linear model. However, in view of the di- chotomic character of the...

This paper presents new empirical evidence, obtained by fieldwork methods, on investor risk-handling practice in the UK venture capital industry. Its focus is on high-technology firms and the techniques their venture capital backers use for risk management. The active areas of risk management...

This paper proposes a new test of Value at Risk (VaR) validation. Our test exploits the idea that the sequence of VaR violations (Hit function) - taking value 1-α, if there is a violation, and -α otherwise - for a nominal coverage rate α verifies the properties of a martingale difference if...

The study of tail events has become a central preoccupation for academics, investors and policy makers, given the recent financial turmoil. However, what differentiates a crash from a tail event? This article answers this question by taking a risk management perspective that is based on an...

This paper examines, in a high technology context, how investor and investee behave, and interact, in the face of risk. The evidence on which it is based was obtained by fieldwork methods, over the period 2000-2, examining a sample of UK investors and investees active in high technology areas....

This paper uses statistical analysis to characterise ‘industry practice’, in terms of concordance of investors concerning appropriate practice. The evidence was gathered by field work methods in 2000-01, and refers to the practices of twenty UK venture capital investors, who accounted for...