Momentum Informed Inflation-at-Risk
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911999492882432 |
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| author | Szendrei, Tibor Bhattacharjee, Arnab |
| author_facet | Szendrei, Tibor Bhattacharjee, Arnab |
| contents | Growth-at-Risk has recently become a key measure of macroeconomic tail-risk, which has seen it be researched extensively. Surprisingly, the same cannot be said for Inflation-at-Risk where both tails, deflation and high inflation, are of key concern to policymakers, which has seen comparatively much less research. This paper will tackle this gap and provide estimates for Inflation-at-Risk. The key insight of the paper is that inflation is best characterised by a combination of two types of nonlinearities: quantile variation, and conditioning on the momentum of inflation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_12286 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Momentum Informed Inflation-at-Risk Szendrei, Tibor Bhattacharjee, Arnab Econometrics Growth-at-Risk has recently become a key measure of macroeconomic tail-risk, which has seen it be researched extensively. Surprisingly, the same cannot be said for Inflation-at-Risk where both tails, deflation and high inflation, are of key concern to policymakers, which has seen comparatively much less research. This paper will tackle this gap and provide estimates for Inflation-at-Risk. The key insight of the paper is that inflation is best characterised by a combination of two types of nonlinearities: quantile variation, and conditioning on the momentum of inflation. |
| title | Momentum Informed Inflation-at-Risk |
| topic | Econometrics |
| url | https://arxiv.org/abs/2408.12286 |