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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 PublicThis paper presents a novel approach for generating synthetic stock data using Condi-tional Generative Adversarial Networks (CGANs) to enhance volatility modelling and risk assessment.
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Credit-Risk-Modelling
Credit-Risk-Modelling PublicCredit Risk Modeling: An End-to-End Implementation of Expected Loss Framework
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Market-Risk-Modelling
Market-Risk-Modelling PublicMarket 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…
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Portfolio-Optimisation
Portfolio-Optimisation PublicExploring several Portfolio Optimisation Techniques and their pros and cons and impact on portfolio construction
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Portfolio-Optimization-using-Network-Science-and-Graph-Theory
Portfolio-Optimization-using-Network-Science-and-Graph-Theory PublicThis complex code that implements portfolio optimization using network science and graph theory
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Regularization-Techniques-in-Linear-Regression-and-Portfolio-Optimization
Regularization-Techniques-in-Linear-Regression-and-Portfolio-Optimization PublicRegularization Techniques in Linear Regression and Portfolio Optimization.
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