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Operational risk: Emerging markets, sectors and measurement

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  • Mitra, Sovan
  • Karathanasopoulos, Andreas
  • Sermpinis, Georgios
  • Dunis, Christian
  • Hood, John

Abstract

The role of decision support systems in mitigating operational risks in firms is well established. However, there is a lack of investment in decision support systems in emerging markets, even though inadequate operational risk management is a key cause of discouraging external investment. This has also been exacerbated by insufficient understanding of operational risk in emerging markets, which can be attributed to past operational risk measurement techniques, limited studies on emerging markets and inadequate data.

Suggested Citation

  • Mitra, Sovan & Karathanasopoulos, Andreas & Sermpinis, Georgios & Dunis, Christian & Hood, John, 2015. "Operational risk: Emerging markets, sectors and measurement," European Journal of Operational Research, Elsevier, vol. 241(1), pages 122-132.
  • Handle: RePEc:eee:ejores:v:241:y:2015:i:1:p:122-132
    DOI: 10.1016/j.ejor.2014.08.021
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    References listed on IDEAS

    as
    1. Smimou, K., 2014. "International portfolio choice and political instability risk: A multi-objective approach," European Journal of Operational Research, Elsevier, vol. 234(2), pages 546-560.
    2. Bilbao, A. & Arenas, M. & Rodriguez, M.V. & Antomil, J., 2007. "On constructing expert Betas for single-index model," European Journal of Operational Research, Elsevier, vol. 183(2), pages 827-847, December.
    3. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    4. Ozdamar, Linet & Bozyel, M. Ali & Birbil, S. Ilker, 1998. "A hierarchical decision support system for production planning (with case study)," European Journal of Operational Research, Elsevier, vol. 104(3), pages 403-422, February.
    5. Singh, Shweta & Murthi, B.P.S. & Steffes, Erin, 2013. "Developing a measure of risk adjusted revenue (RAR) in credit cards market: Implications for customer relationship management," European Journal of Operational Research, Elsevier, vol. 224(2), pages 425-434.
    6. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters,in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409 World Scientific Publishing Co. Pte. Ltd..
    7. Asher Blass & Yishay Yafeh & Oved Yosha, 1998. "Corporate Governance In An Emerging Market: The Case Of Israel," Journal of Applied Corporate Finance, Morgan Stanley, vol. 10(4), pages 79-89.
    8. Vidal-García, Javier & Vidal, Marta, 2014. "Seasonality and idiosyncratic risk in mutual fund performance," European Journal of Operational Research, Elsevier, vol. 233(3), pages 613-624.
    9. Leland, Hayne E & Toft, Klaus Bjerre, 1996. " Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads," Journal of Finance, American Finance Association, vol. 51(3), pages 987-1019, July.
    10. Gayialis, Sotiris P. & Tatsiopoulos, Ilias P., 2004. "Design of an IT-driven decision support system for vehicle routing and scheduling," European Journal of Operational Research, Elsevier, vol. 152(2), pages 382-398, January.
    11. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    12. Cummins, J. David & Lewis, Christopher M. & Wei, Ran, 2006. "The market value impact of operational loss events for US banks and insurers," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2605-2634, October.
    13. Dong, Lingxiu & Kouvelis, Panos & Su, Ping, 2013. "Global facility network design in the presence of competition," European Journal of Operational Research, Elsevier, vol. 228(2), pages 437-446.
    14. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    15. Gheorghe VOINEA & Sorin Gabriel ANTON, 2009. "Lessons from the Current Financial Crisis. A Risk Management Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 3, pages 139-147, May.
    16. Clark, P. & Chapman, C. B., 1987. "The development of computer software for risk analysis: A decision support system development case study," European Journal of Operational Research, Elsevier, vol. 29(3), pages 252-261, June.
    17. Abdur Chowdhury, 2003. "Information technology and productivity payoff in the banking industry: evidence from the emerging markets," Journal of International Development, John Wiley & Sons, Ltd., vol. 15(6), pages 693-708.
    18. Fertis, Apostolos & Baes, Michel & Lüthi, Hans-Jakob, 2012. "Robust risk management," European Journal of Operational Research, Elsevier, vol. 222(3), pages 663-672.
    19. Ansaripoor, Amir H. & Oliveira, Fernando S. & Liret, Anne, 2014. "A risk management system for sustainable fleet replacement," European Journal of Operational Research, Elsevier, vol. 237(2), pages 701-712.
    20. Santhanam, Radhika & Kyparisis, George J., 1996. "A decision model for interdependent information system project selection," European Journal of Operational Research, Elsevier, vol. 89(2), pages 380-399, March.
    21. Loader, David, 2002. "Controls, Procedures and Risk," Elsevier Monographs, Elsevier, edition 1, number 9780750654869.
    22. Gaivoronski, Alexei & Sechi, Giovanni M. & Zuddas, Paola, 2012. "Cost/risk balanced management of scarce resources using stochastic programming," European Journal of Operational Research, Elsevier, vol. 216(1), pages 214-224.
    23. Repede, John F. & Bernardo, John J., 1994. "Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky," European Journal of Operational Research, Elsevier, vol. 75(3), pages 567-581, June.
    24. Denzler, Stefan M. & Dacorogna, Michel M. & Muller, Ulrich A. & McNeil, Alexander J., 2006. "From default probabilities to credit spreads: Credit risk models do explain market prices," Finance Research Letters, Elsevier, vol. 3(2), pages 79-95, June.
    25. Buchbinder, G.L. & Chistilin, K.M., 2007. "Multiple time scales and the empirical models for stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 168-178.
    26. Chen, Son-Nan & Brown, Stephen J, 1983. " Estimation Risk and Simple Rules for Optimal Portfolio Selection," Journal of Finance, American Finance Association, vol. 38(4), pages 1087-1093, September.
    27. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    28. Chan, Felix T. S. & Jiang, Bing & Tang, Nelson K. H., 2000. "The development of intelligent decision support tools to aid the design of flexible manufacturing systems," International Journal of Production Economics, Elsevier, vol. 65(1), pages 73-84, April.
    29. Kallio, Markku & Kuula, Markku & Oinonen, Sami, 2012. "Real options valuation of forest plantation investments in Brazil," European Journal of Operational Research, Elsevier, vol. 217(2), pages 428-438.
    30. Allen, Linda & Bali, Turan G., 2007. "Cyclicality in catastrophic and operational risk measurements," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1191-1235, April.
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    Cited by:

    1. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    2. repec:gam:jsusta:v:10:y:2018:i:3:p:640-:d:133962 is not listed on IDEAS
    3. Balbás, Alejandro & Balbás, Raquel & Balbás, Beatriz, 2016. "VaR as the CVaR sensitivity : applications in risk optimization," INDEM - Working Paper Business Economic Series id-16-01, Instituto para el Desarrollo Empresarial (INDEM).

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