The impact of terrorism on industry returns and systematic risk in Pakistan: A wavelet approach
Article publication date: 6 November 2017
This study aims to examine the impact of terrorism on return and systematic risk of Pakistan’s equity industries. Daily data from 1 January 2000 to 31 December 2014 for 12 industries based on the specific types of companies listed on Karachi Stock Exchange are used for the empirical analysis.
A multiplicative (additive) term is introduced in the standard capital asset pricing model to examine the change in systematic risk (industry returns) in response to the terrorist activities. The authors use the multiscale beta approach (Yamada, 2005) and the maximal overlap discrete wavelet transform (MODWT) to test the heterogeneous market hypothesis.
Terrorism activities increase the systematic risk for most of the industries and the negative impact on returns of banks and the financial industry. It is noted that terrorism positively impacts (increases) the industrial systematic risk mainly in short-run (between two and four days-time horizon).
The paper examines the impact of terrorism on a broad list of industries’ (banks, basic materials, chemicals, construction, consumer goods, consumer services, financials, industrials, minerals, oil and gas, textile and utilities) risk and return in Pakistan, using the multiscale beta approach (Yamada, 2005) and the MODWT methods.
Peter Josef Stauvermann thankfully acknowledges the financial support of the Changwon National University 2015-2017. The authors are thankful to the editor, Professor Ellie Chapple and the anonymous reviewers, for their comments and suggestions. The usual disclaimer applies.
Shahzad, S.J.H., Stauvermann, P.J., Kumar, R.R. and Ahmad, T. (2017), "The impact of terrorism on industry returns and systematic risk in Pakistan: A wavelet approach", Accounting Research Journal, Vol. 30 No. 4, pp. 413-429. https://doi.org/10.1108/ARJ-09-2015-0114
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