Course Resources for Derivatives
Winter, 2008.
Professor
Paseka
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Refer to this space for course announcements
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The format for this course is lectures, tests and a project.
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Course Materials
Syllabus
Student Materials are available from the
book website
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Group Project
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Grades
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Slides
Chapter 1
Chapter 2
Chapter 5
Chapter 3
Chapters 4 and 6
Chapter 7
Chapter 8
Chapter 9
Chapter 11
Chapter 15 and 16
Chapter 17
Chapter 18
Chapter 20
Chapter 21
Excel file: example of Maximum Likelihood estimation of GARCH(1,1) model