This project studies the effects of the shape parameter estimator uncertainty at different threshold levels on the value-at-risk confidence interval for quantitative risk management (QRM) using the Generalized Pareto Distribution (GPD) from the Extreme Value Theory (EVT) approach.

The project involved developing a credit risk default model using a given data which had to be checked for outliers, missing values, multicollinearity etc. Univariate and Bivariate Analysis had to be conducted and the model had to be built using Logistic Regression on most important variables. Model Performance Measures were undertaken that incl…

Calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other financial services and investment firms.

The RAG-based Financial Risk Assessment Tool uses advanced AI models to automate financial risk assessment. By leveraging retrieval-augmented generation (RAG) techniques, the tool provides predictive insights and risk analysis for financial data, enhancing decision-making and workflow efficiency.