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The Excellent Method of Novel Uncertainty Predictor for Risk Assessment in E-Financial Institutions

Author

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  • Alireza Miremadi

    (Sharif University of Technology-International Campus, Iran)

  • Omidreza Ghanadiof

    (University of Central Missouri, USA)

Abstract

Financial institutions are always engaged in risk assessment. In fact, the birth of finance in Europe was through dealing with risk. Risk is a situation that we have more than a possible future with different probabilities. Assessing different futures with different level of probabilities is not that easy to formulate. Neural network is a topology developed for dealing with cases in which formulating the problem is not easy due to model flexibility which is required by the conditions of risks we are dealing with in E-finance. E-finance is providing financial services over electronic devices and cyber space. With the prominent growth of E-finance, the need for developing new models for assessing risk associated with this kind of business seems inevitable. Continuous growth of E-finance brings on new issues such as E-trust; consequently, the need for developing a model of total risk assessment is the base of our study. The presented model is a prototype, future models should be developed specifically for different kind of risk E-finance provider are dealing with.

Suggested Citation

  • Alireza Miremadi & Omidreza Ghanadiof, 2021. "The Excellent Method of Novel Uncertainty Predictor for Risk Assessment in E-Financial Institutions," European Journal of Humanities and Social Sciences, European Open Science, vol. 1(4), pages 38-42, July.
    • Handle: RePEc:epw:social:v:1:y:2021:i:4:id:18094
    DOI: 10.24018/ejsocial.2021.1.4.94
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