A new approach on effective control regarding e-commerce risks in stock exchange market focusing on cloud computing (a caste study: Tehran Stock Market)

Seyedeh Hashemiyeh Mirrezaei

International Journal of Trade and Global Markets, 2020, vol. 13, issue 4, 367-377

Abstract: Effective risk control is as significant as maximising the return of investment for investors; therefore, it is essential to examine patterns and tools of the effective risk control for investors. By using local and global optimisation algorithms, the approach minimises risk-based control patterns, draws and compares its performance boundaries. For this purpose, after testing the normal distribution of returns of selected companies, parametric nonlinear planning patterns are introduced for all three effective risk control models. Using optimisation algorithms and Matlab software, the optimisation function is based on fuzzy hierarchical analysis method, fuzzy DEA and an intelligent optimisation model in the cloud environment to do the comparison. For economic users of the stock exchange, the cloud environment was an unsafe media, and the cloud itself is considered a risk. The study findings show the fuzzy optimised model can better understand the cloud environment and the risks more effectively than other models.

Keywords: effective risk control; optimisation of risk detection methods; fuzzy analysis; cloud computing; stock exchange; computer networks; XenPump; economic users; business; employees; e-commerce. (search for similar items in EconPapers)
Date: 2020
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