Skip to content
View MHassangit's full-sized avatar
  • London, UK and NYC

Block or report MHassangit

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Advances-in-Volatility-Modelling-the-costs-and-benefits-of-Synthetic-Data-for-Global-banks Advances-in-Volatility-Modelling-the-costs-and-benefits-of-Synthetic-Data-for-Global-banks Public

    This paper presents a novel approach for generating synthetic stock data using Condi-tional Generative Adversarial Networks (CGANs) to enhance volatility modelling and risk assessment.

    Jupyter Notebook

  2. Credit-Risk-Modelling Credit-Risk-Modelling Public

    Credit Risk Modeling: An End-to-End Implementation of Expected Loss Framework

    Jupyter Notebook

  3. Market-Risk-Modelling Market-Risk-Modelling Public

    Market risk is a critical aspect of risk management for banks and financial institutions, particularly those with significant trading activities. It refers to the potential losses arising from adve…

    Jupyter Notebook

  4. Portfolio-Optimisation Portfolio-Optimisation Public

    Exploring several Portfolio Optimisation Techniques and their pros and cons and impact on portfolio construction

    Jupyter Notebook

  5. Portfolio-Optimization-using-Network-Science-and-Graph-Theory Portfolio-Optimization-using-Network-Science-and-Graph-Theory Public

    This complex code that implements portfolio optimization using network science and graph theory

    Jupyter Notebook

  6. Regularization-Techniques-in-Linear-Regression-and-Portfolio-Optimization Regularization-Techniques-in-Linear-Regression-and-Portfolio-Optimization Public

    Regularization Techniques in Linear Regression and Portfolio Optimization.

    Jupyter Notebook