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Measuring the unmeasurable: an application of uncertainty quantification to Treasury bond portfolios
Authors:Jingnan Chen  Richard B. Sowers
Affiliation:1. Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore.;2. Department of Mathematics, University of Illinois at Urbana–Champaign, Urbana, IL, USA.
Abstract:We extract from the yield curve a new measure of fundamental economic uncertainty, based on McDiarmid’s diameter and related methods for optimal uncertainty quantification (OUQ). OUQ seeks analytical bounds on a system’s behaviour, even where aspects of the underlying data-generating process and system response function are not completely known. We use OUQ to stress test a simple fixed-income portfolio, certifying its safety—i.e. that potential losses will be ‘small’ in an appropriate sense. The results give explicit tradeoffs between: scenario count, maximum loss, test horizon, and confidence level. Unfortunately, uncertainty peaks in late 2008, weakening certification assurances just when they are needed most.
Keywords:Uncertainty  Yield curve  Optimal uncertainty quantification  Model risk  Stress testing
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