Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates: Evidence from Point and Density Forecasts

Christina Anderl and Guglielmo Maria Caporale

No 9687, CESifo Working Paper Series from CESifo

Abstract: This paper investigates the predictive power of the shadow rate for the inflation rate in countries with a zero lower bound (the US, the UK and Canada) and in those with negative rates (Japan, the Euro Area and Switzerland). Using shadow rates obtained from two different models (the Wu-Xia (2016) and the Krippner (2015a) ones) and for different lower bound parameters we compare the out-of-sample forecasting performance of an inflation model including a shadow rate interaction term with a benchmark one excluding it. Both specifications are estimated by OLS (Ordinary Least Squares) and includes a range of macroeconomic factors computed by means of principal component analysis. Both point and density forecasts of the inflation rate are evaluated. The models including the shadow rate interaction term are found to outperform the benchmark ones according to both sets of criteria except in countries operating an official inflation targeting regime. The presence or absence of a zero lower bound affects which type of shadow rate produces more accurate inflation forecasts.

Keywords: shadow interest rates; zero lower bound; inflation forecasting; density forecasts (search for similar items in EconPapers)
JEL-codes: C38 C53 E37 E43 E58 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-cba, nep-eec, nep-for, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Journal Article: Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_9687

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