FLUCTUATIONS IN MACROECONOMIC NEWS AND THEIR IMPACT ON THE STOCK MARKET: EVIDENCE FROM THE TUNISIAN TURBULENT PERIODS

This paper investigates the impact of a broad set of economic and non-economic news on stock prices during the most stressful period of Tunisia’s multidimensional crisis (2011–2015). Using a two-stage econometric framework — Vector Autoregression (VAR) to isolate unanticipated shocks and Autoregressive Distributed Lag (ARDL) to analyze their effects — the research finds that traditional macroeconomic variables (e.g. interest rates, inflation, industrial production) lack significant long-term influence on stock returns. However, short-term dynamics reveal that unexpected monetary policy changes, inflationary shocks, and negative political events significantly affect market returns, with investors reacting more strongly to adverse political news. Sovereign credit rating downgrades also show persistent negative effects. The findings highlight the dominance of short-term volatility and political instability over long-term fundamentals in Tunisia’s fragile financial market, underscoring the decoupling of equity returns from macroeconomic conditions during crises. For crisis-hit emerging markets, policymakers must prioritize political stability and transparent monetary communication over traditional macroeconomic fixes, as short-term shocks and sovereign downgrades disproportionately drive market volatility compared to long-term fundamentals.

Authors

Institutions

Publication Details

Journal
Global economy journal
Published
2025-06-24
DOI
https://doi.org/10.1142/s2194565925500034
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FLUCTUATIONS IN MACROECONOMIC NEWS AND THEIR IMPACT ON THE STOCK MARKET: EVIDENCE FROM THE TUNISIAN TURBULENT PERIODS

Fathi Nakai, DONIA ROUIHEM
1 citations
Global economy journal
Market Dynamics and Volatility
3.13
article

FLUCTUATIONS IN MACROECONOMIC NEWS AND THEIR IMPACT ON THE STOCK MARKET: EVIDENCE FROM THE TUNISIAN TURBULENT PERIODS

Fathi Nakai, DONIA ROUIHEM
article en
1 citations

Abstract

This paper investigates the impact of a broad set of economic and non-economic news on stock prices during the most stressful period of Tunisia’s multidimensional crisis (2011–2015). Using a two-stage econometric framework — Vector Autoregression (VAR) to isolate unanticipated shocks and Autoregressive Distributed Lag (ARDL) to analyze their effects — the research finds that traditional macroeconomic variables (e.g. interest rates, inflation, industrial production) lack significant long-term influence on stock returns. However, short-term dynamics reveal that unexpected monetary policy changes, inflationary shocks, and negative political events significantly affect market returns, with investors reacting more strongly to adverse political news. Sovereign credit rating downgrades also show persistent negative effects. The findings highlight the dominance of short-term volatility and political instability over long-term fundamentals in Tunisia’s fragile financial market, underscoring the decoupling of equity returns from macroeconomic conditions during crises. For crisis-hit emerging markets, policymakers must prioritize political stability and transparent monetary communication over traditional macroeconomic fixes, as short-term shocks and sovereign downgrades disproportionately drive market volatility compared to long-term fundamentals.

Global economy journalVol. 25(01n02)
University of Sousse (TN)
Decent work and economic growth
Openalex Percentile: Top 8%
Market Dynamics and Volatility
3.13
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.