The high frequency impact of economic policy narratives on stock market uncertainty

Daniel Perico Ortiz

No 02/2021, FAU Discussion Papers in Economics from Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics

Abstract: This paper investigates the causal relationship between economic policy narratives, derived from President Trump's tweets and tweeting behavior, and stock market uncertainty. To this end, I define different event types based on the occurrence probability of identifted narratives or unusual tweet behaviors. High-frequency market uncertainty responses to different events are recovered using time-series regressions. Events regarding foreign policy, trade, monetary policy, and immigration policy exhibit a signiftcant effect on market uncertainty. Impulse responses become signiftcant between one and three hours after the event occurs, for most of the events. Furthermore, behavior events, such as increases in the tweet or retweeted counts above their average, matter for stock market uncertainty.

Keywords: Twitter; Donald Trump; Economic Narratives; Economic Policy Uncertainty; VIX (search for similar items in EconPapers)
JEL-codes: C54 D83 E71 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-fmk and nep-mac
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:iwqwdp:022021

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