The Short-Term and Long-Term Economic Impacts of the Brexit Referendum: A DID and VAR Analysis Using Financial Market Variables to Examine the UK Local Economy

Brexit has profoundly impacted not only international economies but also the local economy of the UK. This study builds upon previous research on the effects of the Brexit referendum, while avoiding the formal Brexit period that overlapped with the COVID-19 pandemic, to examine the short-term and long-term impacts of the Brexit referendum on the UK's local economy. The study innovatively employs the Difference-in-Differences (DID) model, which has not been previously used in this context, to assess the impact of the Brexit referendum on stocks significantly affected by Brexit compared to those less affected. Additionally, the study utilizes the Vector Autoregression (VAR) model and Impulse Response Functions (IRF) to analyze how Brexit-related shocks, specifically abnormal stock market returns, impact key economic variables: the ten-year UK government bond yield and the GBP/USD exchange rate. The findings confirm that Brexit-related news has immediate and lasting effects on market volatility, with significant short-term impacts on the UK's local economy, while the long-term effects are relatively mild.

Authors

Institutions

Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-12-19
DOI
https://doi.org/10.54254/2754-1169/2024.18381
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Short-Term and Long-Term Economic Impacts of the Brexit Referendum: A DID and VAR Analysis Using Financial Market Variables to Examine the UK Local Economy

Hongping Zhu
Advances in Economics Management and Political Sciences
COVID-19 Pandemic Impacts
article

The Short-Term and Long-Term Economic Impacts of the Brexit Referendum: A DID and VAR Analysis Using Financial Market Variables to Examine the UK Local Economy

Hongping Zhu
article en

Abstract

Brexit has profoundly impacted not only international economies but also the local economy of the UK. This study builds upon previous research on the effects of the Brexit referendum, while avoiding the formal Brexit period that overlapped with the COVID-19 pandemic, to examine the short-term and long-term impacts of the Brexit referendum on the UK's local economy. The study innovatively employs the Difference-in-Differences (DID) model, which has not been previously used in this context, to assess the impact of the Brexit referendum on stocks significantly affected by Brexit compared to those less affected. Additionally, the study utilizes the Vector Autoregression (VAR) model and Impulse Response Functions (IRF) to analyze how Brexit-related shocks, specifically abnormal stock market returns, impact key economic variables: the ten-year UK government bond yield and the GBP/USD exchange rate. The findings confirm that Brexit-related news has immediate and lasting effects on market volatility, with significant short-term impacts on the UK's local economy, while the long-term effects are relatively mild.

Advances in Economics Management and Political SciencesVol. 129(1)
Shanghai University of International Business and Economics (CN)
Openalex Percentile: Top 71%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Short-Term and Long-Term Economic Impacts of the Brexit Referendum: A DID and VAR Analysis Using Financial Market Variables to Examine the UK Local Economy — Hongping Zhu · Advances in Economics Management and Political Sciences (2024) | TGRS Research Map | TGRS