Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications

Version 1 : Received: 1 April 2018 / Approved: 2 April 2018 / Online: 2 April 2018 (10:51:49 CEST)

A peer-reviewed article of this Preprint also exists.

Liu, A.; Mo, C.Y.J.; Paddrik, M.E.; Yang, S.Y. An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications. Information 2018, 9, 132. Liu, A.; Mo, C.Y.J.; Paddrik, M.E.; Yang, S.Y. An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications. Information 2018, 9, 132.

Abstract

In this study, we examine the relationship of bank level lending and borrowing decisions and the risk preferences on the dynamics of the interbank lending We develop an agent-based model that incorporates individual bank decisions using the temporal difference reinforcement learning algorithm with empirical data of 6600 S. banks. The model can successfully replicate the key characteristics of interbank lending and borrowing relationships documented in the recent literatur A key finding of this study is that risk preferences at individual bank level can lead to unique interbank market structures which are suggestive of the capacity that the market responds to surprising

Keywords

interbank market; contagion risk; multi-agent system; reinforcement learning agents

Subject

Business, Economics and Management, Economics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.