Epidemics of rules, rational negligence and market crashes
Kartik Anand,
Alan Kirman and
Matteo Marsili
The European Journal of Finance, 2013, vol. 19, issue 5, 438-447
Abstract:
Structural changes in an economy or in financial markets can arise as a result of agents adopting rules that appear to be the norm around them. Such rules are adopted by implicit consensus as they turn out to be profitable for individuals. However, as rules develop and spread they may have consequences at the aggregate level which are not anticipated by individuals. To illustrate this, we develop a simple model, motivated by the 2007--2008 crisis in credit derivatives markets. This shows how coordination on simple and apparently profitable rules may weaken regulatory constraints, rendering the whole system more fragile. The rule, in the specific example, consists in deciding not to exercise due diligence in the evaluation of complex credit derivative products, free riding on information and operational costs. We show that such "rational negligence", in the face of deteriorating macro-economic conditions, can bring a market to a sudden collapse.
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://hdl.handle.net/10.1080/1351847X.2011.601872 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Epidemics of rules, rational negligence and market crashes (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:eurjfi:v:19:y:2013:i:5:p:438-447
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20
DOI: 10.1080/1351847X.2011.601872
Access Statistics for this article
The European Journal of Finance is currently edited by Chris Adcock
More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().