Python
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Martingale properties
Martingale properties lie at the core of modern financial theory and quantitative analysis. These properties describe stochastic processes where the conditional expected value of the next observation, given the current and past values, equals the current observation. In simple terms, martingales represent “fair games” where…
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Supervised machine learning – Gaussian Naïve Bayes
In quantitative finance, having access to precise data analytics and advanced predictive models is key. With its versatile ecosystem, Python has emerged as an indispensable tool for quantitative developers seeking to optimise investment strategies and forecast market movements. One such…
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Probability distributions
Risk management is paramount for banks, financial institutions, and investment firms. Accurately predicting potential portfolio losses, especially during market downturns, can mean the difference between resilience and vulnerability. Python has emerged as an indispensable tool for quantitative developers, offering flexibility…