Abstract
Terrorism in Pakistan poses a significant risk towards the lives of people by violent destruction and physical damage. In addition to human loss, such catastrophic activities also affect the financial markets. The purpose of this study is to examine the impact of terrorism on the volatility of the Pakistan stock market. The financial impact of 339 terrorist attacks for a period of 18 years (2000–2018) is estimated w.r.t. target type, days of the week, and surprise factor. Three important macroeconomic variables namely exchange rate, gold, and oil were also considered. The findings of the EGARCH (1, 1) model revealed that the terrorist attacks targeting the security forces and commercial facilities significantly increased the stock market volatility. The significant impact of terrorist attacks on Monday, Tuesday, and Thursday confirms the overreaction of investors to terrorist news. Furthermore, the results confirmed the negative linkage between the surprise factor and stock market returns. The findings of this study have significant implications for investors and policymakers.
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- The Trade Disruption Hypothesis Fails for State-Sponsored Genocides and Mass Atrocities: Why It Matters
- Rivalry Type and Cyber Operations: “Hot” Rivalries, “Cold” Rivalries, and Cyber Incidents, 1990–2009
- The Yemeni Conflicts: A Mismatch Theory Interpretation
- The Economic Impact of Terrorism from 2000 to 2018
- Stock Market Volatility and Terrorism: New Evidence from the Markov Switching Model
Articles in the same Issue
- Frontmatter
- Research Articles
- The Trade Disruption Hypothesis Fails for State-Sponsored Genocides and Mass Atrocities: Why It Matters
- Rivalry Type and Cyber Operations: “Hot” Rivalries, “Cold” Rivalries, and Cyber Incidents, 1990–2009
- The Yemeni Conflicts: A Mismatch Theory Interpretation
- The Economic Impact of Terrorism from 2000 to 2018
- Stock Market Volatility and Terrorism: New Evidence from the Markov Switching Model