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Virginia Tech

Estimating swap credit risk: significance of the volatility input using Monte-Carlo simulation

Abstract

dc:description.abstract

Since its inception in the early 1980s, the global market for swaps has grown to over $3 trillion in notional principal outstanding, leading some regulators and others to express concern about risks posed for the financial system. Notional principal, however, is not a measure of the risks of swaps. As a result, it is important to both businesses using swaps and regulators to develop appropriate measures of these risks. For credit risk, for example, current replacement cost measures the credit exposure in the event of default today, but does not account for the possibility of default in the future. Additional measures are required. This thesis focuses on estimating the credit risk of swaps, accounting for both current and potential future exposure, and measuring the sensitivity or credit risk to changes in volatility. The model used is based on Monte Carlo techniques, drawing on Mark Ferron and George Handjinicolaou's article "Understanding Swap Credit Risk: The Simulation Approach". The model provides an estimate of the expected replacement cost of a swap, averaging across numerous interest rate scenarios. The sensitivity of the model's estimate of swap credit risk to different volatility assumptions is also determined and compared to the results of Ferron and Handjinicolaou. This analysis demonstrates that swap credit risk is highly sensitive to volatility. For example, starting with a 15% volatility level, a 100 basis point increase in volatility results in a 6.7% increase in the estimate of expected replacement cost. More generally, a given increase in volatility (e.g. from 20% to 25%) results in a proportional increase in replacement cost.

Degree

thesis:*
Name thesis:degree_name
Master of Arts
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Economics
Department dc:contributor.department
Economics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1993

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sauter, Dawn Adell

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
etd-12052009-020238
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/46152

Chain of custody

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Harvested from
Virginia Tech
Base URL
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Last updated
2026-07-22
Source record
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related terms
citation

Sauter, Dawn Adell. Estimating swap credit risk: significance of the volatility input using Monte-Carlo simulation. masters thesis, Virginia Tech, 1993. http://hdl.handle.net/10919/46152