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Stochastic calculus

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.

Squares that settle, absolute values that do not

Let WW be a standard Brownian motion. Fix a horizon TT and cut [0,T][0, T] into nn equal intervals of length Δ=T/n\Delta = T/n, writing ΔiW=W(i+1)Δ−WiΔ\Delta_i W = W_{(i+1)\Delta} - W_{i\Delta}.

Consider three sums:

Qn=∑i=0n−1(ΔiW)2,Vn=∑i=0n−1∣ΔiW∣,Cn=∑i=0n−1∣ΔiW∣3Q_n = \sum_{i=0}^{n-1} \left( \Delta_i W \right)^2, \qquad V_n = \sum_{i=0}^{n-1} \left| \Delta_i W \right|, \qquad C_n = \sum_{i=0}^{n-1} \left| \Delta_i W \right|^3

Say what each one does as nn grows. For QnQ_n, also give its variance at finite nn ...

The rest of the question is for members

Reference articles

The Bachelier model

Arithmetic Brownian motion for prices. The closed form, why negative rates and negative oil brought it back, and the assumption that fails on equities.

The Black-Scholes PDE

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.

Ito's lemma

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.

Quadratic variation

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.

Stochastic calculus interview questions, and the toolkit that answers them

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.

Interview questions

Squares that settle, absolute values that do not

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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