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Measuring the unmeasurable: an application of uncertainty quantification to Treasury bond portfolios

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  • Jingnan Chen
  • Mark D. Flood
  • Richard B. Sowers

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.

Suggested Citation

  • Jingnan Chen & Mark D. Flood & Richard B. Sowers, 2017. "Measuring the unmeasurable: an application of uncertainty quantification to Treasury bond portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1491-1507, October.
    • Handle: RePEc:taf:quantf:v:17:y:2017:i:10:p:1491-1507
    DOI: 10.1080/14697688.2017.1296176
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    1. Beverly Hirtle & Til Schuermann & Kevin J. Stiroh, 2009. "Macroprudential supervision of financial institutions: lessons from the SCAP," Staff Reports 409, Federal Reserve Bank of New York.
    2. Kevin Dowd & Margaret Woods & John Cotter & Chris Humphrey, 2010. "How Unlucky is 25-Sigma?," Working Papers 200838, Geary Institute, University College Dublin.
    3. Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
    4. Maria Soledad Martinez Peria & Mr. Giovanni Majnoni & Mr. Matthew T Jones & Mr. Winfrid Blaschke, 2001. "Stress Testing of Financial Systems: An Overview of Issues, Methodologies, and FSAP Experiences," IMF Working Papers 2001/088, International Monetary Fund.
    5. Brose,Margarita S. & Flood,Mark D. & Krishna,Dilip & Nichols,Bill (ed.), 2014. "Handbook of Financial Data and Risk Information I," Cambridge Books, Cambridge University Press, number 9781107012011, October.
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