Operationalizing a Framework for Political Instability Risk Assessment: Index Development and Baseline Interpretation


Published: Dec 31, 2025
Keywords:
Security Analysis National security Internal security Index Political risk Risk assessment
Zisis S. Kyrgos
Abstract

Political instability has seen a significant rise in the previous decades, with a significant case number increase. This paper builds on previous research on the topic in order to develop a political instability risk index for calculating the relative probability of a societal/political entity utilizing the means at its disposal for altering the status quo of the system it belongs in, taking into consideration the factors identified in the relevant literature. The methodology used in the development of the index is the one proposed by the OECD Handbook on Composite Indexes. The index takes into consideration nine different indicators, aggregated into two categories. An indicator value scale is also provided for each variable. From a policy perspective, the index offers a feasible, transparent and not overly technical tool which may assist structured risk assessment by security analysts.

Article Details
  • Section
  • Articles
Downloads
Download data is not yet available.
References
Baltes C.M. (2016) Causes and consequences of the Syrian civil war. Senior Theses, 105. Available at: https://scholarcommons.sc.edu/senior_theses/105 (Accessed: 15/12/2025).
European Commission. (2025). 10 Step Guide | Knowledge for policy. Europa.eu. Available at: https://knowledge4policy.ec.europa.eu/composite-indicators/toolkit_en/navigation-page/10-step-guide_en (Accessed: 15/12/2025)
Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2018). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 141(1), 61–94. https://doi.org/10.1007/s11205-017-1832-9
Hof F. and Simon A. (2013) Sectarian violence in Syria’s Civil War: Causes, consequences, and recommendations for mitigation. Washington, DC: The Center for the Prevention of Genocide, the United States Holocaust Memorial Museum.
Kuc-Czarnecka, M., Lo Piano, S., & Saltelli, A. (2020). Quantitative Storytelling in the Making of a Composite Indicator. Social Indicators Research, 149(3), 775–802. https://doi.org/10.1007/s11205-020-02276-0
Kyrgos, Z., & Daskalakis, I. (2025). Theoretical foundation of a proposed methodology and analysis framework for political instability risk assessment. Security and Defence Quarterly, 51(3). https://doi.org/10.35467/sdq/207135
Malhotra, N. K., Nunan, D., & Birks, D. (2017). Marketing research : an applied approach (5th ed.). Pearson. http://www.pmm.edu.my/zxc/2022/lib/ebok/Marketing%20Research%20An%20Applied%20Approach%20(1).pdf
Mandel, D. R., & Barnes, A. (2017). Geopolitical Forecasting Skill in Strategic Intelligence. Journal of Behavioral Decision Making, 31(1), 127–137. https://doi.org/10.1002/bdm.2055
O’Callaghan, D., Prucha, N., Greene, D., Macdonald, S., Carthy, J., & Cunningham, P. (2014). Online social media in the Syria conflict: Encompassing the extremes and the in-betweens. ArXiv (Cornell University). https://doi.org/10.1109/asonam.2014.6921619
OECD, & JRC EC. (2008). Handbook on Constructing composite Indicators : methodology and user guide. OECD.
Rajmil, D., & Morales, L. (2023). The Role of Geopolitical Risk in Conflict Analysis: Critical Insights. Peace Review, 35(4), 603–613. https://doi.org/10.1080/10402659.2023.2257621
Spyer, J. (2012). DEFYING A DICTATOR: Meet the Free Syrian Army. World Affairs, 175(1), 45–52. http://www.jstor.org/stable/41638991
Most read articles by the same author(s)