Options Pricing Models with Python
Implement binomial trees, Black-Scholes-Merton and Monte Carlo option pricers in Python, then test them against each other and against known analytical results.
This course introduces the core derivative contracts traded around the world: forwards, futures, options and swaps. You will learn contract mechanics, margining and settlement, payoff diagrams and the no-arbitrage reasoning behind basic pricing. The emphasis is on understanding exposures and risks clearly before any modeling or software work begins.
4 modules · 16 lessons · 4 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Build a spreadsheet or Python notebook that plots payoff diagrams for calls, puts, spreads and straddles
Compute theoretical forward prices for an equity index and a commodity using cost-of-carry inputs
Write a short risk memo comparing a futures hedge with an options hedge for the same hypothetical exposure
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
Implement binomial trees, Black-Scholes-Merton and Monte Carlo option pricers in Python, then test them against each other and against known analytical results.
Learn to identify, measure and communicate market, credit, liquidity and operational risk using volatility, drawdown, VaR and stress testing concepts.
A structured introduction to how global equity, fixed income, currency and commodity markets are organized, who participates, and how prices and risk are communicated.