Module 10:
Joint distributions and dependence

Module 10

What this module is for

Both. Move from individual uncertainty to interacting quantities. Applications include aggregating PnL, combining signals and checking diversification assumptions.

Lesson 10.1 · Core

Joint PMFs and random vectors

Depth: Working proficiency

QT/QR relevance: Both; modelling multiple uncertain quantities

Lesson 10.2 · Core

Joint densities and support

Depth: Interview mastery

QT/QR relevance: Both, especially QR; multivariate calculations

Lesson 10.3 · Core

What independence does and does not imply

Depth: Interview mastery

QT/QR relevance: Both; detecting invalid model simplifications

Lesson 10.4 · Core

Covariance, correlation and aggregate variance

Depth: Interview mastery

QT/QR relevance: Both; aggregate risk and signal relationships

Lesson 10.5 · Core

Covariance matrices and valid dependence models

Depth: Working proficiency; advanced for general matrix arguments

QT/QR relevance: Especially QR; multivariate risk models

Assessment

Module 10 assessment

Open assessment · No submitted assessment yet