ABSTRACT
An investigation into the causes of bankruptcy filing by borrowers and the impact it has onto the financial industries is undertaken in this work. One of the major catalysts for bankruptcy filing has been the COVID-19 pandemic that has infected the world from early 2020. With the many applications of data analytics in the financial industry, Bankruptcy Prediction Models (BPM) have seen a rise in popularity to ascertain a customer's financial health and predict if at all the customer is in potential financial distress based on selected key parameters. An in-depth review of bankruptcy prediction models has highlighted several flaws, mainly being a lack of industrial risk parameter to identify the individual borrowers that have been directly affected by their industry on a large scale as seen for the aviation industry during the pandemic. In testing, Random Forest produced the highest accuracy on real-world data. It is observed that the inclusion of the Industry Risk variable can increase the accuracy of the model, but also nonfinancial variables such as socio-economic status are an important contribution to the accuracy of determining if a customer is potential for bankruptcy filing. © 2021 IEEE.
ABSTRACT
The notorious novel coronavirus has been causing various cases of pneumonia outbreak starting in Wuhan, Hubei province in China and spreading throughout the world. This paper presents a study of the information available on the outbreak, to provide a deeper understanding of the origin, transmission and danger of this newly discovered virus. The basic reproduction rate (R0) is focused on to understand the transmission pattern of this virus. Results obtained from the studies conducted by various parties have been collected and compared. It is believed that this virus is highly related with the SARS-CoV and MERS-CoV that happened during 2003 and 2012, respectively, hence a lot of preliminary studies are based on these as there is lack of sufficient data specific to COVID-19. Studies reported R0 within the range of 2-5, indicating that each infected patient will transmit the virus to 2-5 other individuals. © IJCRR.