Rollover risk and endogenous network dynamics

Rollover risk and endogenous network dynamics

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Article ID: iaor20133872
Volume: 10
Issue: 2
Start Page Number: 213
End Page Number: 230
Publication Date: Jun 2013
Journal: Computational Management Science
Authors: ,
Keywords: risk, networks, investment
Abstract:

Using a dynamic network formation model, solved numerically, we study banks’ rollover decisions. We find that when the existence of linkages between market participants generates an informational externality, the newly formed network is conditioned by past architectures. Moreover, this inertia is strongly dependent on macroeconomic conditions, such as investors’ risk appetite. Simulations show that for intermediate values of the risk appetite’s parameter the financial network exhibits tipping points, i.e., the inability to maintain a threshold number of linkages may push the market into a gridlock. In this context, we study also how policy instruments, such as taxes and subsidies, affects debt rollover. Since a reduction in the policy level plays the same role as an improvement in economic fundamentals, the creation of interbank connections can be stimulated by it. Thus, in order to restart lending after a major stress situation in the interbank market a considerable reduction in the policy level is required, advising a counter‐cyclical policy similar to the ones recently proposed with respect to capital requirements.

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