Data modeling of financial crises

Abstract

The COVID-19 crisis has made it clear that even for developed economies, like the USA, severe nancial disruptions can drag down the whole economy. It is considered the worst nancial crisis since the Great Depression. As the stock market has come to the attention of increasing numbers of researchers, an idea that has emerged to develop a mathematical theory of stock market crashes. This thesis is primarily concerned with data modeling of such a theory. The COVID-19 crisis has been used as a case study to analyse and study nancial crises. Stock market data has been taken from Yahoo Finance website and has been graphed for this analysis.