IDEAS home Printed from https://ideas.repec.org/a/ush/jaessh/v4y2009i4(10)_winter2009p86.html
   My bibliography  Save this article

Modeling Risk Of International Country Relations

Author

Listed:
  • Sergey SVESHNIKOV
  • Victor BOCHARNIKOV

Abstract

In this article we consider the modeling principles and model for estimation of tension of international relations of a country with other countries. We use the tension of international relations as partial indicator of international political-economical country-risk. The model bases on estimation of coincidences and contradictions of views of countries concerning decision of political, economic, military, domestic and international problems and projects. The model aggregates detailed estimations of separate problems into composite estimation of relations tension with using of fuzzy measures and integrals. The model allows receiving quantitative estimations of tension of international relations which are necessary for making investment decisions. We use this model for estimation of international political-economical risk of Ukraine.

Suggested Citation

  • Sergey SVESHNIKOV & Victor BOCHARNIKOV, 2009. "Modeling Risk Of International Country Relations," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(4(10)_Win), pages 558-569.
  • Handle: RePEc:ush:jaessh:v:4:y:2009:i:4(10)_winter2009:p:86
    as

    Download full text from publisher

    File URL: http://www.jaes.reprograph.ro/articles/winter2009/SveshnikovS_BocharnikovV.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. P. Hammer & A. Kogan & M. Lejeune, 2011. "Reverse-engineering country risk ratings: a combinatorial non-recursive model," Annals of Operations Research, Springer, vol. 188(1), pages 185-213, August.
    2. Lensink, Robert & Hermes, Niels & Murinde, Victor, 2000. "Capital flight and political risk," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 73-92, February.
    3. Christoph Moser & Thorsten Nestmann & Michael Wedow, 2008. "Political Risk and Export Promotion: Evidence from Germany," The World Economy, Wiley Blackwell, vol. 31(6), pages 781-803, June.
    4. Oya Erdogdu, 2008. "Political Decisions, Defense And Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(1), pages 27-35.
    5. Joaquim Andrade & Vladimir Teles, 2006. "An empirical model of the Brazilian country risk -- an extension of the beta country risk model," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1271-1278.
    6. Rivoli, Pietra & Brewer, Thomas L., 1997. "Political instability and country risk," Global Finance Journal, Elsevier, vol. 8(2), pages 309-321.
    7. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    2. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    3. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    4. Thanh C. Nguyen & Vítor Castro & Justine Wood, 2022. "Political environment and financial crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 417-438, January.
    5. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    6. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    7. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    8. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    9. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    10. Kumar B, Pradeep, 2021. "Changing Objectives of Firms and Managerial Preferences: A Review of Models in Microeconomics," MPRA Paper 106967, University Library of Munich, Germany, revised 13 Mar 2021.
    11. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    12. Anirban Mukhopadhyay & Sugata Hazra & Debasish Mitra & C. Hutton & Abhra Chanda & Sandip Mukherjee, 2016. "Characterizing the multi-risk with respect to plausible natural hazards in the Balasore coast, Odisha, India: a multi-criteria analysis (MCA) appraisal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1495-1513, February.
    13. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
    14. Chamoli, Sunil, 2015. "Hybrid FAHP (fuzzy analytical hierarchy process)-FTOPSIS (fuzzy technique for order preference by similarity of an ideal solution) approach for performance evaluation of the V down perforated baffle r," Energy, Elsevier, vol. 84(C), pages 432-442.
    15. H. S. C. Perera & W. K. R. Costa, 2008. "Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies," Vision, , vol. 12(4), pages 1-11, October.
    16. G. La Scalia & F.P. Marra & J. Rühl & R. Sciortino & T. Caruso, 2016. "A fuzzy multi-criteria decision-making methodology to optimise olive agro-engineering processes based on geo-spatial technologies," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 15(1), pages 1-15.
    17. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet E., 2014. "Dual criteria decisions," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 101-113.
      • Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet, 2009. "Dual Criteria Decisions," Working Papers 02-2009, Copenhagen Business School, Department of Economics.
    18. Mulliner, Emma & Smallbone, Kieran & Maliene, Vida, 2013. "An assessment of sustainable housing affordability using a multiple criteria decision making method," Omega, Elsevier, vol. 41(2), pages 270-279.
    19. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    20. Majid Ebrahimi & Hamid Nejadsoleymani & Mohammad Reza Mansouri Daneshvar, 2019. "Land suitability map and ecological carrying capacity for the recognition of touristic zones in the Kalat region, Iran: a multi-criteria analysis based on AHP and GIS," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 697-718, October.

    More about this item

    Keywords

    Model; International relations; Fuzzy measure; Political-economical risks;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F59 - International Economics - - International Relations, National Security, and International Political Economy - - - Other
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ush:jaessh:v:4:y:2009:i:4(10)_winter2009:p:86. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Laura Stefanescu (email available below). General contact details of provider: https://edirc.repec.org/data/fmuspro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.