We propose a spatial approach for modeling risk spillovers using financial time-varying proximity matrices based on … observable networks. We show how these methods could be useful in (i) isolating risk channels, risk spreaders and risk receivers …, (ii) investigating the role of portfolio composition in risk transfer, and (iii) computing target exposure structures able …

Through the lens of market participants' objective to minimize counterparty risk, we provide an explanation for the … of the benefits and potential pitfalls with respect to a single market participant's counterparty risk exposure when … elements can render central clearing harmful for a market participant's counterparty risk exposure regardless of the number of …

Through the lens of market participants' objective to minimize counterparty risk, we provide an explanation for the … of the benefits and potential pitfalls with respect to a single market participant's counterparty risk exposure when … elements can render central clearing harmful for a market participant's counterparty risk exposure regardless of the number of …

We propose a spatiotemporal approach for modeling risk spillovers using time-varying proximity matrices based on … isolate risk channels and we discuss how to compute target exposure able to reduce system variance. An empirical analysis on … Euro-area cross-country holdings shows that Italy and Ireland are key players in spreading risk, France and Portugal are …

, reflecting his preferences and risk profile. The new performance measure is also well adapted for analyzing performance of hedge …