R, Python, Excel, SPSS, SAS, and MINITAB in Banking Research

Abstract

This paper discusses how R, Python, SPSS, SAS, and MINITAB can be used to predict bank failures and benefits that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software's, organizations can govern the life cycles of their inquiries and be strategic in their future financial stability in the bank. We provide an example of how companies can calculate internal rate of return (IRR) and use this to determine future bank failures while also discussing how each software can be used in different manners to determine future financial stability.