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Mathematical Finance Course

Mathematical Finance Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This short, practical Mathematical Finance Course shows you how to compute log returns, annualised performance, and volatility, then apply two-asset portfolio formulae for variance, expected return, and risk-adjusted metrics. You will work with real ETF data, clean and validate prices, test correlations, build clear tables and charts, and turn quantitative results into well-structured, client-ready recommendations.

Elevify advantages

Develop skills

  • Build two-asset ETF portfolios: compute returns, volatility, and Sharpe-like ratios.
  • Analyse asset correlations: test stability, interpret signs, and gauge diversification.
  • Estimate returns and risk: use log returns, annualise performance, and check biases.
  • Source and clean market data fast: download, validate, and align ETF price histories.
  • Turn maths into advice: explain risk, drawdowns, and rebalancing to conservative clients.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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