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Stochastic Finance 2022-23 Module 3 (Spring 2023)

Announcements

Resources

Lectures

No Date Contents
01 2.21 Tue Course overview, Probability Statistics Review (Slides)
02 2.24 Fri Probability Statistics Review (Slides)
03 2.28 Tue SCFA Ch. 1, World Series Derivative
04 3.03 Fri SCFA Ch. 2
05 3.07 Tue SCFA Ch. 3
06 3.10 Fri SCFA Ch. 4
07 3.14 Tue Bachelier (Normal) Model (Slides)
08 3.17 Fri SCFA Ch. 6, Questions Review (optional)
09 3.21 Tue Midterm Exam
10 3.24 Fri SCFA Ch. 5 (Knock-out option under Bachelier model), Ch. 6
11 3.28 Tue Ch. 7-8
12 3.31 Fri Midterm exam review. Ch. 9
13 4.04 Tue Ch. 9
14 4.07 Fri Ch. 10 (Black-Scholes)
15 4.11 Tue Ch. 12 (Martingale representation theorem), Ch. 13 (Girsanov Theorem)
16 4.14 Fri Ch. 13 (Girsanov Theorem)
17 4.18 Tue Ch. 14 (Equivalent Martingale Measure)
18 4.21 Fri Ch. 14
Exam 4.29 Sat Final Exam 4 - 6 PM

Homeworks:


Syllabus

Classes:

  • Lectures: Tuesday & Friday 10:30 AM – 12:20 PM
  • Venue: PHBS Building, Room 229

Instructor: Jaehyuk Choi

  • Office: PHBS Building, Room 755
  • Phone: 86-755-2603-0568
  • Email: [email protected]
  • Office Hour: Monday 7 - 9 PM

Teaching Assistance: 孙博 (SUN Bo)

Textbooks and Reading Materials

Assessment / Grading Details

  • Attendance 20%, Assignments 15%, Mid-term Exam 30%, Final Exam 35%
  • Attendance: Randomly checked. The score is calculated as 20 – 2x(#of absence). Leave request should be made 24 hours before with supporting documents, except for emergency. Job interview/internship cannot be a valid reason for leave
  • Mid-term Exam: 3.21 Tue, Final Exam: 4.29 Sat
    • Closed-book exam. No computer/phone/calculator.
    • Some problems will be similar to those in the past exams.
  • Grade in letters (e.g., A+, A-, ... ,D+, D, F). A- or above < 30% and B- or below > 10%.
  • The level of background knowledge may vary among students, but it will be ignored in grading. Grading will be strictly based on outcome, not on effort or progress.

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