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TIPS and the VIX: Spillovers from Financial Panic to Breakeven Inflation in an Automated, Nonlinear Modeling Framework

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  • Josh R. Stillwagon

Abstract

This paper examines the determinants of the breakeven inflation rate (BEI) on U.S. Treasury Inflation Protected Securities. After controlling for several measures of liquidity, inflation expectations and inflation uncertainty; financial fear itself (proxied with the Volatility Index or VIX) remains a primary influence on BEI. To delve into the mechanism underlying this association, the VIX is decomposed, using intraday data, into conditional variance and the variance premium capturing risk aversion. Aside from the 2008 crisis, most of the effect emanated from the variance premium. Following the crisis, indicators of bank insolvency risk gain prominence as well. Lastly, an automated nonlinear model finds convex effects of variance, and diminishing returns to insolvency risk and liquidity.

Suggested Citation

  • Josh R. Stillwagon, 2018. "TIPS and the VIX: Spillovers from Financial Panic to Breakeven Inflation in an Automated, Nonlinear Modeling Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 218-235, April.
  • Handle: RePEc:bla:obuest:v:80:y:2018:i:2:p:218-235
    DOI: 10.1111/obes.12218
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    Cited by:

    1. Afonso, António & Arghyrou, Michael G. & Gadea, María Dolores & Kontonikas, Alexandros, 2018. "“Whatever it takes” to resolve the European sovereign debt crisis? Bond pricing regime switches and monetary policy effects," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 1-30.
    2. Hie Joo Ahn & Choongryul Yang, 2022. "Effects of Monetary Policy on Household Expectations: The Role of Homeownership," Finance and Economics Discussion Series 2022-065, Board of Governors of the Federal Reserve System (U.S.).
    3. Agnieszka M. Chomicz-Grabowska & Lucjan T. Orlowski, 2020. "Financial market risk and macroeconomic stability variables: dynamic interactions and feedback effects," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 655-669, October.
    4. María T. González-Pérez, 2021. "Lessons from estimating the average option-implied volatility term structure for the Spanish banking sector," Working Papers 2128, Banco de España.
    5. Orlowski, Lucjan T. & Soper, Carolyne, 2019. "Market risk and market-implied inflation expectations," International Review of Financial Analysis, Elsevier, vol. 66(C).
    6. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

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