Massachusetts Institute of Technology
Engineering financial safety : a system-theoretic case study from the financial crisis
Abstract
dc:description.abstractThere is currently much systems-based thinking going into understanding safety in complex socio-technical systems and in developing useful accident analysis methods. However, when it comes to complex systems without clear physical components, the techniques for understanding accidents are antiquated and ineffective. This thesis uses a promising new engineering-based accident analysis methodology, CAST (Casual Analysis using STAMP, or Systems Theoretic Accident Models and Processes) to understand an aspect of the financial crisis of 2007-2008. This thesis demonstrates how CAST can be used to understand the context and control problems that led to the collapse and rapid acquisition of the investment bank Bear Stearns in March 2008. It seeks to illustrate the technological and regulatory change that provided the context for the Bear Stearns accidents and then demonstrates how a top-down systematic method of analysis can produce more insight into the accident than traditional financial accident investigations such as congressionally-mandated inquiries.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering Systems Division
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2012
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Spencer, Melissa B. (Melissa Beth)
- Advisor dc:contributor.advisor
-
- Nancy G Leveson.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/72903
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/72903