Stress testing retail load portfolios with dual-time dynamics
Stress testing retail load portfolios with dual-time dynamics
Stress testing has become an important topic in retail lending since the introduction of the new Basel II guidelines. The present work uses a scenario-based forecasting approach developed explicitly for retail lending in order to provide a suitable stress testing approach. We first decompose the historical vintage performance data into a maturation function of months-on-books, a quality function of vintage origination date, and an exogenous function of calendar date. In a second step, the exogenous function is modeled with macroeconomic data or factors representing portfolio management impacts. Stress tests are performed by extrapolating the exogenous function using externally provided scenarios for extreme macroeconomic events. The resulting scenario is combined with the known maturation and quality functions. This process is repeated for each of a key set of rates, such as default rate, exposure at default, and loss given default in the context of Basel II. These key rate forecasts are combined to create total portfolio forecasts and stress tests. This approach is demonstrated in an analysis of the US Mortgage markets.
dual-time dynamics, nonlinear dynamics, time series
analysis, portfolio forecasting, scenario-based forecasting, retail lending, stress testing, macroeconomic scenarios
University of Southampton
Breeden, J.L.
00dd4046-648c-4ac9-98b8-252fc05000c3
Thomas, L.
a3ce3068-328b-4bce-889f-965b0b9d2362
McDonald III, J.
c60d5597-20f7-4700-b983-3512deeec3cb
6 December 2007
Breeden, J.L.
00dd4046-648c-4ac9-98b8-252fc05000c3
Thomas, L.
a3ce3068-328b-4bce-889f-965b0b9d2362
McDonald III, J.
c60d5597-20f7-4700-b983-3512deeec3cb
Breeden, J.L., Thomas, L. and McDonald III, J.
(2007)
Stress testing retail load portfolios with dual-time dynamics
(University of Southampton Discussion Paper Series: Centre for Risk Research, CRR-08-15)
Southampton, UK.
University of Southampton
19pp.
Record type:
Monograph
(Working Paper)
Abstract
Stress testing has become an important topic in retail lending since the introduction of the new Basel II guidelines. The present work uses a scenario-based forecasting approach developed explicitly for retail lending in order to provide a suitable stress testing approach. We first decompose the historical vintage performance data into a maturation function of months-on-books, a quality function of vintage origination date, and an exogenous function of calendar date. In a second step, the exogenous function is modeled with macroeconomic data or factors representing portfolio management impacts. Stress tests are performed by extrapolating the exogenous function using externally provided scenarios for extreme macroeconomic events. The resulting scenario is combined with the known maturation and quality functions. This process is repeated for each of a key set of rates, such as default rate, exposure at default, and loss given default in the context of Basel II. These key rate forecasts are combined to create total portfolio forecasts and stress tests. This approach is demonstrated in an analysis of the US Mortgage markets.
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Published date: 6 December 2007
Keywords:
dual-time dynamics, nonlinear dynamics, time series
analysis, portfolio forecasting, scenario-based forecasting, retail lending, stress testing, macroeconomic scenarios
Identifiers
Local EPrints ID: 58381
URI: http://eprints.soton.ac.uk/id/eprint/58381
PURE UUID: 7f45e077-a18e-4778-aa78-3f4c86d6d995
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Date deposited: 15 Aug 2008
Last modified: 11 Dec 2021 17:56
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Contributors
Author:
J.L. Breeden
Author:
L. Thomas
Author:
J. McDonald III
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