8 items in the Thuztra Learn library carry the topic stochastic calculus: 5 reference articles, 1 interview question and 2 resources. They are gathered here so one idea can be met in every form it takes, which is usually the difference between recognising a term and being able to use it.
6 of them have pages of their own, linked below. Everything else is listed with the summary its author wrote. The one problem on this topic is set out under its own heading and quoted in full.
Problems in full
Quoted exactly as the library sets them, so the topic is something you can try rather than something you have read about.
Arithmetic Brownian motion for prices. The closed form, why negative rates and negative oil brought it back, and the assumption that fails on equities.
Where the pricing equation comes from, what the gamma-theta trade really pays, and the four assumptions that fail the moment a hedge goes on in a real book.
The chain rule for processes with non-zero quadratic variation, why the second derivative appears at first order, and the four places the theorem stops applying.
Earn the squared-increment limit properly, then watch Ito's lemma fall out of an exact algebraic identity. The second-order term is not a correction to anything.
The five kinds of stochastic calculus question in quantitative finance interviews, the six tools that answer them, four worked examples, and the slips that cost the most marks.
Chop a Brownian path into n pieces and add up the increments three ways: squared, absolute, cubed. Three different limits, and only one of them is interesting.
Resources
MIT 18.S096: the free lecture series that covers the actual desk syllabus
26 recorded lectures, from linear algebra in week one to counterparty credit risk at the end. Free, complete, and filmed in 2013, which shows in places.
Shreve, Stochastic Calculus for Finance II
The standard continuous-time text for masters programmes and quant desks. Strong on martingales and change of measure, silent on everything that touches data.
Related topics
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