Business and Economics
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Quantitative Risk Management plays a crucial role in the banking, insurance, and asset management sectors by effectively managing risk. Professionals in financial risk analysis, regulation, and actuarial fields must be able to quantitatively assess the balance between rewards and exposure to risk. This course serves as an introduction to financial portfolio risk management, focusing on the 2007-2008 financial crisis and its impact on investment banks like Goldman Sachs and J.P. Morgan. Participants will gain proficiency in utilizing Python to calculate and mitigate risk exposure using measures such as Value at Risk and Conditional Value at Risk. Additionally, they will learn to estimate risk through techniques like Monte Carlo simulation and leverage cutting-edge technologies like neural networks for real-time portfolio rebalancing.
by DataCamp
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Pytho...
by DataCamp
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how t...
by DataCamp
Learn to use Python for financial analysis using basic skills, including lists, data visualization,...
by DataCamp
Work with risk-factor return series, study their empirical properties, and make estimates of value-a...
by DataCamp
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest...
by DataCamp
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
by DataCamp
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.