General Introduction to Financial Mathematics
LECTURE NOTES
STATEMENT:
Most of lectures in this course are delivered by power point slides, but problem-solving
examples will be shown by blackboard writing. Students are required to take lecture notes on problem-solving.
Sections
labelled with * in lecture notes are reading materials.
PART I: FIXED INCOME INVESTMENTS AND RISK-FREE ASSETS
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Chapter 1: The Theory of Interest, Annuity, Amortization of Debt and Bond
Lecture Notes (Normal Format)
Lecture Notes (Handout Format 1)
Lecture Notes (Handout Format 2)
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PART II: APPLIED MATHEMATICS AND BASIC FINANCIAL PRINCIPLE PRELIMINARY
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Chapter 2: Review on Discrete Probability Theory
Lecture Notes (Normal Format)
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Lecture Notes (Handout Format 2)
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Chapter 3: Review on Normal Random Variables, Central Limit Theorem and Lognormal Random Variables
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Lecture Notes (Handout Format 2)
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Chapter 4: The Arbitrage Theorem and Linear Programming
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Chapter 5: Discrete Random Walks, Brownian Motion/Wiener Process, Ito's Lemma and Stochastic Calculus
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PART III: FINANCIAL DERIVATIVES
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Chapter 6: Forwards and Futures
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Chapter 7: European Options and the Fundamental Equation Governing the Price of Options:
Black-Scholes Partial Differential Equation
Lecture Notes (Normal Format)
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Lecture Notes (Handout Format 2)
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Chapter 8: Solution of the Black-Scholes Equation and Derivation of the Option Pricing Formula by Binomial Model
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Chapter 12: American Options in Binomial Model Approach
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PART IV: FINANCIAL ENGINEERING INTRODUCTION
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Chapter 9: Greek Parameters
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Chapter 10: Hedging
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Chapter 11: Portfolio Optimization
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II. HOMEWORK ASSIGNMENTS
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Homework Assignment 1
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Homework Assignment 2
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Homework Assignment 3
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Homework Assignment 4
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Homework Assignment 5
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Homework Assignment 6
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Homework Assignment 7
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Homework Assignment 8
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Homework Assignment 9
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Homework Assignment 10
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Homework Assignment 11
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Homework Assignment 12
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