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Finding Inflation Uncertainty Factors: A Sparse Stochastic Volatility Approach

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  • Hui-Jhong Choi
  • Kyu Ho Kang

Abstract

Inflation uncertainty is an undeniable factor in economic decision-making. In this study, we investigate predictive factors that possess information on inflation uncertainty among many observable macroeconomic variables and uncertainty indices. To do this, we estimate several inflation prediction models popular in the literature, allowing for stochastic volatility with predetermined variables. We apply the Dirac spike-and-slab prior to the volatility-explaining variables to detect relevant macroeconomic determinants of the inflation volatility process. Contrary to prior studies suggesting that the inflation level is essentially a unique factor explaining inflation uncertainty, our findings reveal that survey inflation expectations and the capacity utilization rate are significantly more relevant. These results remain robust to different models of inflation.

Suggested Citation

  • Hui-Jhong Choi & Kyu Ho Kang, 2025. "Finding Inflation Uncertainty Factors: A Sparse Stochastic Volatility Approach," Journal of Financial Econometrics, Oxford University Press, vol. 23(4), pages 1593-1636.
  • Handle: RePEc:oup:jfinec:v:23:y:2025:i:4:p:1593-1636.
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    File URL: http://hdl.handle.net/10.1093/jjfinec/nbaf016
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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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