“Missão: Risco da Carteira”.

📰 Medium · Data Science

Learn to assess portfolio risk using data science techniques and tools

intermediate Published 19 Jul 2026
Action Steps
  1. Collect historical stock prices using libraries like pandas and yfinance
  2. Calculate daily returns and volatility of each stock in the portfolio
  3. Apply risk metrics such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) to evaluate portfolio risk
  4. Visualize the portfolio risk using plots and heatmaps to identify potential risks
  5. Optimize the portfolio by rebalancing assets to minimize risk and maximize returns
Who Needs to Know This

Data scientists and analysts can benefit from this lesson to improve their portfolio risk assessment skills, which is crucial for investment decisions and financial management

Key Insight

💡 Data science techniques can help assess and mitigate portfolio risk, leading to better investment decisions

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Assess portfolio risk with data science! Learn to calculate VaR, CVaR, and optimize your portfolio for better returns #datascience #portfoliorisk

Key Takeaways

Learn to assess portfolio risk using data science techniques and tools

Full Article

Eu tinha acabado de voltar de férias e meu chefe me chamou em sua sala. Queria que eu desse uma olhada em sua carteira de ativos na Bolsa… Continue reading on Medium »
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