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A step-by-step guide covering Python, SQL, analytics, and finance applications.
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Get full access to all Data Science, Machine Learning, and AI courses built for finance professionals.
One-time payment - Lifetime access
Or create a free account to start
A step-by-step guide covering Python, SQL, analytics, and finance applications.
Or create a free account to access more
Introductory Remarks and General Guidelines – See Part 1
The CFAI has been very generous to you and saved some of the most challenging material for the home stretch. I would lump derivatives into the middle tier with Corporate Finance and Fixed Income. Don’t worry, you can do it.
Derivatives starts with the easier stuff and builds to the more challenging material. In part 1, look for forward basics, currency forwards (think back to Econ), forward rate agreements, futures basics, interest rate futures, and US Treasury bond futures.
Like Fixed Income, Derivatives is a great place to incorporate flash cards.
Options – you will see both the binomial and Black-Scholes models; both are fair game. Interest rate options and put-call parity are other important topics.
Swaps & Swaptions – look for interest rate swaps, equity swaps, and currency swaps. The ability to draw and interpret a swap diagram is a must have skill set. You will also be introduced to swaptions.
Progress Test 3 – Now is the time to do a progress test through Derivatives. Hopefully you are noticing improvement over the first two progress tests. Fixed Income and Derivatives may take additional effort given the volume and complexity of some of the material. This will be your closest experience to date with a full on practice test, so take it seriously.
The last section! With expectations of one to two item sets, CFAI probably gives more information than a candidate needs or wants at this point, but this section is really a preview of things to come in Level 3.
You will see portfolio variance, CAL, CML, CAPM, SML, the Sharpe ratio and its offspring, problems with mean-variance analysis, multi-factor modeling (remember Quant?), performance measurement issues, flaws of CAPM, intro to ICAPM, the portfolio management process, and the impact of taxes on investor returns.