Mathematical and Statistical Models on Risk with applications in Business, Economics, Finance, and COVID-19

Dear Colleagues,

Mathematics and statistics play a vital role in many fields in Risks and provide theories and tools that have been widely used in all areas of Risks. Knowledge of mathematics, probability, and statistics is essential to develop theories in Risks and test their validity through the analysis of empirical real-world data. This Special Issue will also bring together practical, state-of-the-art applications of mathematics, probability, and statistical techniques in Risks with applications in business, economics, finance, and COVID-19.

Business, economics, and finance are three of the major areas of applications of Risks. Additionally, the COVID-19 pandemic is a very important current issue that is not only a significant concern for public health, but is also dealing a devastating impact on the socio-economic condition of the invaded countries. As such, the pandemic can be categorized as a risk that could trigger a loss of economic value or confidence in a substantial portion of the financial system that could have a severe negative influence on the real economy. However, the effect of the pandemic goes beyond borders, and as such becomes imperative to model the full breadth implications of the COVID-19 on emerging economies and world economies at large using statistical and mathematical applications—notably, in the areas of monetary and fiscal responses; changes in capital mobility; changes in international trade blueprint; and impact on financial, labor, and commodity markets, among other relevant issues.

We seek quantitative and qualitative empirical studies of business, economics, and finance related to the specific business, economic, and financial risk of COVID-19 using the identified perspectives or combinations of these areas.

Prof. Dr. Wing-Keung Wong
Dr. Husam Rjoub
Prof. Dr. Moawia Alghalith
Guest Editors

Manuscript Submission Information

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