interdependence from joint extreme movements based on bivariate extreme value theory and classification analysis. Furthermore, we … propose a new ranking strategy regarding the influence of institutions based on the network effects and quantile regression …

This paper extends the classic factor-based asset pricing model by including network linkages in linear factor models …. We assume that the network linkages are exogenously provided. This extension of the model allows a better understanding … of the causes of systematic risk and shows that (i) network exposures act as an inflating factor for systematic exposure …

should be nowadays replaced with a network-oriented view. Closer insight into the concept of systemic risk can refer to the … have disastrous effects and cause extreme damage as the number of network nodes goes to infinity. Strongly interconnected …

and Klijn’s (2004) framework for understanding network uncertainty and apply it to an extreme example of uncertainty, an … appropriate for each individual, and how to deal with unanticipated problems. The network pursued this learning in a variety of … ways. Most critically, the taskforce used standard operating procedures to provide a form of network memory …

network. An experimental investigation confirms the theory's baseline predictions. Traders adopt monotone strategies with … higher-budget intermediaries offering to pay more for tradable assets. Traders closer to the final consumer in the network …

a network. In establishing existence and uniqueness of such a flow function, we address a know problem of indeterminacy … for the emergence of possible indeterminacies. We then apply some properties of network flows to investigate the relation … between the structures of a financial network-i.e. the size and the pattern of obligations - and its exposure to default …