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Chapter 0:
Introduction
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Chapter 1: Bond
Mathematics |
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1.1 Interest Calculation Methods |
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1.1.1 Simple
Interest
1.1.2 Compound Interest
1.1.3 Discount |
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1.2 Bond Price and Yields |
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1.2.1 Bond
Prices and Yields
- Coupon Bonds
- Zero-Coupon Bonds |
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1.3 Duration and Convexity |
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1.3.1 Bond
Duration
- Modified Duration
- Macaulay Duration
1.3.2 Bond Convexity
1.3.3 Portfolio Duration and Convexity |
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Chapter 2: Probability Distributions |
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2.1 Random Variables and their Moments |
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2.1.1 Random
Variables
2.1.2 Key Moments of Random Variables
- Expectation
- Variance
- Skewness
- Kurtosis2.1.3
Probability Generating Functions of Random
Variables |
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2.2 Function of Random Variables |
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2.2.1
Definition
2.2.2 Sum of Functions of Random Variables
2.2.3 Product of Functions of Random Variables |
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2.3 Some Key Probability Distributions |
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2.3.1 Uniform
Distribution
2.3.2 Bernoulli Distribution
2.3.3 Binomial Distribution
2.3.4 Negative Binomiall Distribution
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Geometric Distribution
2.3.5 Poisson Distribution
2.3.6 Normal Distribution
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Standard Normal Distribution
2.3.7 Log-Normal Distribution
2.3.8 Chi-square Distribution
2.3.9 Student-t Distribution |
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2.4 Central Limit Theorem |
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2.5 Estimation of Parameters |
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Chapter 3:
Introduction To Financial Market Risk |
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3.1 Value-at-Risk (VaR) Introduction |
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3.2 VaR Confidence Levels and Horizons |
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3.2.1 VaR
Confidence Levels
3.2.2 VaR Horizons |
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3.3 Back Testing |
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3.4 Stress Testing To Complement VaR |
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3.5 Conditional Value-at-Risk (C-VaR) |
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Chapter 4: Types of
Financial Market Risk |
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4.1 Systematic Risk |
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4.1.1 General
Market Risk
- Directional Risk
- Non-Directional Risk |
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4.2 Non-systematic Risk |
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4.2.1 Credit
Risk
4.2.2 Event Risk
4.2.3 Liquidity Risk |
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4.3 Risk Interaction |
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Chapter 5: Sources
of Financial Risk |
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5.1 Interest Rate Instruments |
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5.2 Foreign Exchange Instruments |
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5.3 Equity Instruments |
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Single-Index Model
- Multi-Index Model |
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5.4 Commodity Instruments |
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5.5 Summary |
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Chapter 6: VaR
Calculation Methodologies |
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6.1 Using Historicals (Full and Approximate) |
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6.1.1 Full
Valuation
6.1.2 Delta-Gamma Approach
6.1.3 Delta-Normal Approach |
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6.2 Using Monte Carlo Methods |
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