Abstract The paper examines the relationships among market assets during stressful times, using two recently proposed econometric modeling techniques for tail risk measurement: extreme downside hedge (EDH) and correlation (EDC). We extend both measures taking into account sensitivity of asset's return to innovations not only from overall index, but also its components, by means network modeling...

The appropriate choice of a threshold level, which separates the tails probability distribution random variable from its middle part, is considered to be very complex and challenging task. This paper provides an empirical study on various methods optimal tail selection in risk measurement. results indicate method may useful practice for investors financial regulatory institutions. Some that per...

Two studies investigated the validity of computer self-efficacy and computer anxiety scales when administered to an Internet sample. In the first study, it was found that existing measures of computer self-efficacy and anxiety, originally developed through paper-and-pencil methods with more traditional samples, were not adequately equivalent when administered to a sample that was recruited and ...

Risk assessment methods based on scoring methods that rate the severity of each risk factor on an ordinal scale are widely used and frequently perceived by users to have value. We argue that this perceived benefit is probably illusory in most cases. We begin by describing a number of common scoring methods currently used to assess risk in a variety of different domains. We then review the liter...

To cope with problems like climate change, lack of food security, and poverty, a more reasonable use of existing resources is needed. Hence, a transition towards a sustainable behavior in the industrial as well as the developing countries is of core importance. Transition management and backcasting are two methodologies that have been developed mainly in the Netherlands to achieve this behavior...