Defensive Future Studies

Defensive Future Studies

Providing a comprehensive risk prediction model using the method (MGARCH)

Document Type : Original Article

Authors
mosa hoseinzadeh bizaki 1
hossein jahangirnia 2
Gholamreza Zomorodian 3
Reza Gholami Jamkarani 2
Mirfeiz Fallah Shams 3
1 PhD student in financial engineering, Islamic Azad University, Qom, Iran
2 Associate Professor of Accounting, Islamic Azad University, Qom, Iran
3 Associate Professor of Financial Management, Islamic Azad University, Tehran, Iran
10.22034/dfsr.2024.2036343.1813
Abstract
Objective: Risk management is one of the fundamental requirements for modern military forces. Today, without implementing scientific and logical processes,  it is impossible to identify and eliminate risks in dynamic and technological environments. Risk analysis and its prioritization are essential approaches to identifying significant risks and their impacts, enabling the determination of policies and strategies within defense organizations. This research aims to present a comprehensive risk prediction model using the Multivariate GARCH (MGARCH) method
Methodology: Due to the lack of public access to information from military organizations, in this research, statistical methods such as time series regression, self-regressive vector model, multivariable GARCH model, and conditional value at risk were used for banking data from the years 2011 to 2018.
Findings: It is possible to identify, analyze and prioritize risks through the quantification of risks in different units of military organizations.
Conclusion: Based on this, commanders are advised to establish and strengthen risk management departments and regularly assess and manage internal risks within their units according to risk indicators
Keywords
Financial crisis
Risk
Systemic risk
Banking system

Subjects

  • Adegboye, A. Ojeka, S. A. Adegboye, K. Alabi, O. Afolabi, M. & Iyoha, F. (2019). Data on chief financial officer attributes and risk management strategies for Nigerian listed financial institutions. Data in brief, 27, 104609. https://doi.org/10.1016/j.dib.2019.104609
  • Aslan, M. & KIZILYURT, Ö. (2018). Exchange Rates in Iran: Past, Present and Future. Present and Future (NOVEMBER 2, 2018). http://dx.doi.org/10.2139/ssrn.4207680
  • Bahmani-Oskooee, M. & Kandil, M. (2010). Exchange rate fluctuations and output in oil-producing countries: the case of Iran. Emerging Markets Finance and Trade, 46(3), 23-45. https://doi.org/10.2753/REE1540-496X460302
  • Batrancea, I. & Bechis, L. (2013). Systemic risk in banking sector. The USV Annals of Economics and Public Administration, 13(1 (17)), 177-182. https://doi.org/10.1111/j.1468-0297.2011.02483.x
  • Bayati, Gholamreza; Mohammadpour Zarandi, Mohammad Ebrahim; Kordlouei, Hamidreza; and Fadavi, Arefeh. (2024). "Designing a Mathematical Algorithm for Optimizing Banks' Foreign Currency Asset Portfolios Based on Fuzzy Logic and Related Risk Indicators (Case Study: Bank Mellat)." Investment Knowledge, 13(50), 39-72. [in Persian] URL: https://sanad.iau.ir/Journal/jik/Article/843005
  • Cheevirot, S. Smanchat, S. & Nuchitprasitchai, S. (2023, September). Evaluation of traditional finance models and machine learning approaches in FOREX volatility prediction. In 2023 27th International Computer Science and Engineering Conference (ICSEC) (pp. 315-318). IEEE. DOI:1109/ICSEC59635.2023.10329670
  • Daniel, B. C. (2012). Private sector risk and financial crises in emerging markets. The Economic Journal, 122(561), 825-847. https://doi.org/10.1111/j.1468-0297.2011.02483.x
  • Engle, R. F. & Ruan, T. (2019). Measuring the probability of a financial crisis. Proceedings of the National Academy of Sciences, 116(37), 18341-18346. https://doi.org/10.1073/pnas.1903879116
  • Fang, S. Cao, G. & Egan, P. (2023). Forecasting and backtesting systemic risk in the cryptocurrency market. Finance Research Letters, 54, 103788. https://doi.org/10.1016/j.frl.2023.103788
  • Gray, D. F. (2009). Modeling financial crises and sovereign risks. Rev. Financ. Econ. 1(1), 117-144. https://doi.org/10.1146/annurev.financial.050808.114316
  • Greenwood, R. Hanson, S. G. Shleifer, A. & Sørensen, J. A. (2022). Predictable financial crises. The Journal of Finance, 77(2), 863-921. https://doi.org/10.1111/jofi.13105
  • Hartmann, P. De Bandt, O. & Peydró, J. L. (2014). Systemic Risk in Banking after the Great Financial Crisis. https://doi.org/10.1093/oxfordhb/9780199688500.013.0027
  • Hoosain, A. Joubert, A. & Owusu-Sekyere, E. (2021). Analysis of currency volatility from a macroeconomic perspective: the case of selected emerging market economies (EMEs). International Journal of Monetary Economics and Finance, 14(5), 411-426. https://doi.org/10.1504/IJMEF.2021.118285
  • Hsu, C. L. & Chiang, C. H. (2024). Bibliometric analysis of financial crisis research. The Singapore Economic Review, 69(03), 1047-1074. https://doi.org/10.1142/S0217590820500678
  • Mostafapour, Yalda; Tehranian, Amir Mansour; Jafari Samimi, Ahmad; and Rasekhi, Saeed. (2020). "Examining the Threshold Effects of Exchange Rate Fluctuations on Private Sector Investment in Iran." Applied Economic Theories, 7(1), 91-116. [in Persian] DOI: 22034/ecoj.2020.10015
  • Munteanu, I. (2010). Systemic Risk in Banking: New Approaches under the current financial crisis.https://mpra.ub.uni-muenchen.de/id/eprint/27392
  • Nonejad, M. & Mohammadi, M. (2016). The Effect of exchange rate fluctuation on economic activities of Iran. International Review of Management and Business Research, 5(2), 353. https://www.irmbrjournal.com/papers/1465534906.pdf
  • Rasoulzadeh, Parviz; and Moradian, Mohsen. (2024). "Strategic Factors Affecting the Agility of Organizational Structures in Major Ground Combat Units of the Islamic Republic of Iran Army." Army Strategic Studies, 9(13), 159-183. [in Persian] URL: https://www.asrq.ir/article_212082.html
  • Rigana, K. Wit, E. J. C. & Cook, S. (2023). A new way of measuring effects of financial crisis on contagion in currency markets. International Review of Financial Analysis, 90, 102764. https://doi.org/10.1016/j.irfa.2023.102764
  • Rottner, M. (2023). Financial crises and shadow banks: A quantitative analysis. Journal of Monetary Economics, 139, 74-92. https://doi.org/10.1016/j.jmoneco.2023.06.006
  • Vahabzadeh, Sara; Fallah Shams Lialestani, Mirfaiz; Madanchi, Mehdi; and Keyghobadi, Amir Reza. (2022). "Systemic Risk Contagion in Iran's Financial Markets." Investment Knowledge, 11(41), 429-443. [in Persian] URL: https://sanad.iau.ir/Journal/jik/Article/842324
  • Wang, Y. Zhou, Z. & Cao, X. (2023). Assessment of Financial Systemic Crisis on a Causal and Reliable Perspective. International Journal of Information Technology & Decision Making, 1-27. https://doi.org/10.1142/S0219622023500475
  • Zachariadis, S. (2020). Financial crises and the perils for the world economy. Journal of Management and Financial Sciences, (40), 43-56. DOI: 10.33119/JMFS.2020.40.3.

 

 

Defensive Future Studies
Volume 9, Issue 35
Winter 2025
Pages 123-167