Venue & Time: LSB LT6, 17:30-18:15 (Mon)
Tutorial Notes & Schedule
Tutorial 0: Review of Preliminary Material
Notes (Without Solution) & (With Solution)
Tutorial 1: Decomposition of Time Series
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution) & (Complete)
Tutorial 2: Stationarity and dependence measure
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution) & (Complete)
Tutorial 3: Parametric Time Series Models
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution) & (Complete)
Tutorial 4: Midterm Review
Notes (Without Solution) & (With Solution)
Tutorial 5: Inference on Model Parameters
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution)
Recap/Summary notes
Tutorial 6: Model Selection and Diagnostics
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution)
Supplementary code (R-code)
Tutorial 7: Forecasting
Notes (Without Solution) & (With Solution)
Handwritten notes (With Partial-Solution) & (Complete)
Tutorial 8: GARCH Model
Notes (With Solution)
Tutorial 9: Final Exam Review
Summary Notes
Mock Final Exam (Without Solution) & (With Solution)
Useful link/reference
Argand plane (Visualization of the "unit circle" mentioned in tutorial 3): mathworld.wolfram.com/ArgandDiagram.html
General solution to linear recurrence relations (For solving explicit form of ACVF): https://brilliant.org/wiki/linear-recurrence-relations/
Partial fraction decomposition (For easing the algebra for evaluation of MA/AR representation): tutorial.math.lamar.edu/classes/alg/partialfractions.aspx
Errata list (Updated @22/09)
Tutorial 0 (Updated @ 22/09)
Exercise 1: The random variables are dependent, but not independent.
Tutorial 1 (Updated @ 22/09)
Exercise 1: In part (a), the description of "odd" and "even" should be swapped.
Feel free to email me through martinmtt@link.cuhk.edu.hk if you got any problem about the course or found any typo(s) in the tutorial notes.