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Economics & Finance · Year 3 · Markets and modern finance
S5 Markets and investment
Understand how financial markets work, build and analyse portfolios in Python, and price derivatives.
254hours of coursework
26weeks at 10 h
4steps
17new courses
4universities
Target skills
- Financial markets, investor goals and behavioural finance
- Portfolio construction and risk management in Python
- Machine learning applied to asset management
- Globalisation, exchange rates and economic policy
- Derivatives, term structure and optimisation
Semester project
A portfolio built and backtested in Python on twenty years of data, compared with an index, with a one-page management report.
Courses this semester
- 1University of GenevaBeginnerMicrosoft Excel
Stated prerequisites: No prior experience required
Show the 5 courses
Course Level Length Rating (reviews) Understanding Financial Markets Beginner 11 h 4.8 (5,965) Meeting Investors' Goals — 9 h 4.8 (1,827) Portfolio and Risk Management Beginner 8 h 4.7 (2,481) Securing Investment Returns in the Long Run — 8 h 4.8 (1,202) Planning your Client's Wealth over a 5-year Horizon — 14 h 4.7 (433) - 2EDHEC Business SchoolBeginnerPython
Stated prerequisites: No prior experience required
Show the 4 courses
Course Level Length Rating (reviews) Introduction to Portfolio Construction and Analysis with Python — 25 h 4.8 (1,477) Advanced Portfolio Construction and Analysis with Python Intermediate 12 h 4.7 (514) Python and Machine Learning for Asset Management Intermediate 16 h 3.1 (333) Python and Machine-Learning for Asset Management with Alternative Data Sets Intermediate 21 h 4.4 (238) - 3IE Business SchoolIntermediate
Stated prerequisites: Some related experience required
Show the 3 courses
Course Level Length Rating (reviews) Understanding economic policymaking — 16 h — Trade, Immigration and Exchange Rates in a Globalized World Beginner 13 h 4.8 (305) Business Opportunities and Risks in a Globalized Economy Intermediate 11 h 4.8 (187) - 4Columbia UniversityIntermediateMicrosoft Excel, Python
Stated prerequisites: Undergraduate probability and statistics, linear algebra, calculus; introductory finance helpful
Show the 5 courses
Course Level Length Rating (reviews) Introduction to Financial Engineering and Risk Management Intermediate 20 h 4.7 (335) Term-Structure and Credit Derivatives Intermediate 14 h 4.6 (69) Optimization Methods in Asset Management Intermediate 14 h 4.6 (49) Advanced Topics in Derivative Pricing Intermediate 17 h 4.5 (33) Computational Methods in Pricing and Model Calibration Intermediate 25 h 4.5 (48)
Reading
Intermediate Quantitative Economics with PythonT. J. Sargent, J. StachurskiEconomic and financial models programmed in Python.Free, CC BY-SA 4.0
Introduction to Probability, 2nd ed.J. K. Blitzstein, J. HwangThe probability needed for financial engineering.Free online version
Things to watch
- Financial Engineering (Columbia) requires probability and calculus: years 1 and 2 prepare for it.
- The 3rd EDHEC course is rated 3.1: allow extra time for the Python exercises.
With Coursera Plus
This semester takes 254 hours, about 6 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.