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    • FLUMental maths and numerical fluency
    • COMBCounting and combinatorics
    • PROBProbability
    • STATStatistics and inference
    • REGRegression and econometrics
    • TSTime series
    • LALinear algebra
    • SCStochastic calculus
      • 1Brownian motion

        • Brownian motion: the defining properties and what follows
      • 2Hitting times

        • Hitting times, the reflection principle and the running maximum
      • 3The Itô integral and Itô’s lemma

        • Itô’s lemma and the computations you will be asked for
      • 4SDEs and named processes

        • SDEs: geometric Brownian motion, Ornstein–Uhlenbeck and the rest
      • 5Martingales and measure change

        • Measure change: Girsanov, Feynman–Kac and the fundamental theorems
    • MLMachine learning
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  1. Curriculum
  2. /Quantitative research

SC

Stochastic calculus

Brownian motion, Itô calculus and the measure change that makes risk-neutral pricing work.

  1. 1

    Brownian motion

    Defining properties, quadratic variation and the Brownian bridge.

    • 1.1Brownian motion: the defining properties and what follows12 min
  2. 2

    Hitting times

    The reflection principle, running maxima and first passage.

    • 2.1Hitting times, the reflection principle and the running maximum12 min
  3. 3

    The Itô integral and Itô’s lemma

    Itô isometry, the lemma in one and several dimensions, and the standard computations.

    • 3.1Itô’s lemma and the computations you will be asked for15 min
  4. 4

    SDEs and named processes

    Geometric Brownian motion, Ornstein–Uhlenbeck, CIR and Vasicek.

    • 4.1SDEs: geometric Brownian motion, Ornstein–Uhlenbeck and the rest12 min
  5. 5

    Martingales and measure change

    Girsanov, Feynman–Kac and the fundamental theorems.

    • 5.1Measure change: Girsanov, Feynman–Kac and the fundamental theorems13 min
← Previous topicLA · Linear algebraNext topic →ML · Machine learning

QuantMax · 141 lessons · 1342 questions · c5c0caa

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