Measuring the Unmeasurable: An Application of Uncertainty Quantification to Financial Portfolios

Jingnan Chen (), Mark Flood and Richard B. Sowers ()
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Jingnan Chen: Singapore University of Technology and Design
Richard B. Sowers: University of Illinois at Urbana-Champaign

No 15-19, Working Papers from Office of Financial Research, US Department of the Treasury

Abstract: We extract from the yield curve a new measure of fundamental economic uncertainty, based on McDiarmid's distance and related methods for optimal uncertainty quantification (OUQ). OUQ seeks analytical bounds on a system's behavior, even where the underlying data-generating process and system response function are incompletely specified. 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: McDiarmid's distance; Yield Curve; Optimal Uncertainty Quantification; Economic Uncertainty (search for similar items in EconPapers)
Pages: 24 pages
Date: 2015-10-01
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