Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Optimization of Portfolios and Investments: Wolfram U Lesson

via Wolfram U

Overview

How to create optimal portfolio and asset mixes given certain sets of risk tolerance. Optimization methods include quadratic, conic, linear, etc. Analyze portfolio performance metrics, such as asset correlation and forecasted returns.

Summary
There are many ways to optimize portfolios. In this video lesson, you will use built-in Wolfram Language functions to create optimal asset mixes for portfolios with certain sets of risk tolerance. The optimization functions used in the demonstrated analysis include quadratic optimization, conic optimization, linear optimization, linear fractional optimization and second-order cone optimization. The lesson also discusses performance metrics, such as asset correlation and forecasted returns, to evaluate a portfolio.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)


You'll Learn To

Access financial data and relevant functions from within Wolfram Language
Analyze correlation within a portfolio
Optimize investment portfolios to maximize returns and profits while minimizing volatility and loss
Simulate and forecast the value of a portfolio with a mix of assets
Model risk behaviors and their effects
Accommodate many types of portfolio constraints with your optimization functions

Reviews

Start your review of Optimization of Portfolios and Investments: Wolfram U Lesson

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.