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Stock Market Analysis

Data Science Machine Learning

Project Overview

Developing a framework for computing the fat-tail metrics and performing Modern Portfolio Theory based anaylsis:

Key Features

  • Fat-Tailed Asset Modeling, i.e., computing Taleb kappa, VaR, and fitting lognormal and powerlaw disributions
  • Modern Portfolio Theory (MPT) analysis
  • Simulates thousands of portfolios to identify optimal weights based on risk/return tradeoffs
  • Supports both normal and power-law (fat-tailed) asset return modeling
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