12 Types of Yields
Nominal (or Coupon) Yield 168
Discount Yield 168
Current Yield 168
True (or Bond) Yield 169
A Method to Compute Approximate Bond Yield, Given Price 170
Chapter Summary 171
13 Sources of Return, Total Return, and Interest on Interest
Examples 174
Sources of Return 174
How to Analyze this Problem 174
Some Observations on These Examples 177
Problems 179
14 Volatility and Its Measures
What is Volatility? 181
Why do We Care about Volatility? 182
What Volatility Measures Can do for You 182
Measures of Volatility 183
Properties of Volatility 183
Bond Investment Management Interlude 185
Measuring Volatility by Measuring Price Change per Unit Change
in Yield 185
Chapter Summary 185
15 Duration
Historical Background 188
How Long will a Flow of Funds be Outstanding? 188
Modified Duration 192
Payback Interlude 192
A Plea for Payback 193
Calculation of Macaulay Duration and Modified Duration 193
Using Modified Duration to Predict Price Change 195
Dollar Duration 196
A Pictorial View of Duration 196
A Misconception about Duration 198
Portfolio Duration 198
Computing Portfolio Duration 199
Using Duration as a Portfolio Management Tool 200
Duration for Bonds with Embedded Options 200
Negative Duration 201
Problems with Duration as a Measure 201
Chapter Summary 201
16 Convexity
Convexity 206Convexity Calculation 207
Addition for Convexity 207
Modified Prices for Convexity 208
Dollar Convexity 208
Meaning of Convexity 208
A Misconception about Convexity 209
Portfolio Convexity 209
Chapter Summary 209
17 The Mathematical Development of Duration, Convexity,
and the Equation to Predict New Bond Prices,
Given Yield Changes
Derivation of Duration 212
Negative Duration 213
Derivation of Convexity 214
Negative Convexity 215
Taylor’s Series Expansion 215
Reasons for the Equations and Additional Factors Introduced in
the Previous Two Chapters 216
18 Probability and Some Applications to Finance
Elementary Concepts in Probability: A Review 219
Examples of Probabilities 220
Independent Events 220
The Gambler’s Fallacy 220
Probability as a Mathematical Model 221
Use of the Word “Population” 221
Sources of Probabilities 221
Probability Distribution Functions 226
The Binomial Distribution 226
Continuous Probability Distributions 227
The Normal Distribution 229
Statistics and Statistical Analysis 230
Measures of Central Tendency 231
Measure of Dispersions 232
Applications to Insurance 233
Chapter Summary 234
Suggestions for Further Reading and Study 237
19 The Term Structure of Interest Rates, the Expectations
Hypothesis, and Implied Forward Rates
The Term Structure of Interest Rates 240
Shapes of Yield Curves 240The Expectations Hypothesis 241
Implied Spot Rates and Bootstrapping a Spot Yield Curve 243
Computing the Spot Rates 244
Calculation of Spot Rates 244
Using the Treasury Spot Rate in the Treasury Market 245
Using Spot Rates with Other Bonds 246
Implied Future Forward Rates 247
Other Term Structure Hypotheses 248
Risk Premium Hypothesis 248
Liquidity Preference Hypothesis 248
Market Segmentation Hypothesis 248
Discussion of the Various Hypotheses 249
Chapter Summary 249
Suggestions for Further Study 251
20 Variable and Uncertain Cash Flows
Valuing a Varying Series of Cash Flows Using the Same Interest Rate,
Varying Interest Rates, and Probabilities 254
Sources of the Probabilities You Use 256
Sources of the Interest Rates You Use 256
Applying Probability Concepts to Value a Variable or Uncertain
Flow of Funds 257
Different Size Payments with Different Probabilities of Being Paid
at the Same Time 258
Applying These Concepts to Life Insurance 259
Discussion of the Life Insurance Application 261
Using Different Interest Rates 262
How to Compute an Annual Premium for the Insurance 262
Calculating Life Insurance Company Reserves 263
Explanation of Year 2 Income and Expenses 264
Applying These Totals to Actual Insurance Company Operations 264
Reserves for Other Insurance Companies 265
Computing the Value of a Pension 265
Applications to Project Analysis 268
Applications to Bonds: Weighted Average Duration and Effective
Duration 268
The Advantages and Disadvantages of Effective Duration 270
Chapter Summary 271
Suggestions for Further Study 272
21 Mortgage-Backed Securities
What is a Mortgage? 273
How a Level-Payment Self-Amortizing Mortgage Works 274The Equation for Level-Payment, Self-Amortizing Mortgages 275
Variable Rate Mortgages 276
Points 277
Mortgage Pools 278
Pass-Through Securities 278
Pay-Through Securities (Collateralized Mortgage Obligations
(CMOS)) 278
Cash Flows for Mortgages 280
Prepayment Models 281
Mortgage-Backed Investment Management: Application of
Duration and Probability Concepts 282
22 Futures Contracts
Cash, Forward, and Futures Trades 287
The Cross Hedge 290
The Need for Hedging Management 291
The Futures Contract 291
Settlement of a Futures Contract 292
Financial Futures 292
Hedging with Financial Futures 293
Cost of Carry 294
Conversion Factors 295
Conversion Factor Equation: CBOT U.S. 2-Year Treasury Note 298
Conversion Factor Equation: CBOT U.S. 5-Year Treasury Note 300
Conversion Factor Equation: CBOT U.S. 10-Year Treasury Note 300
Conversion Factor Equation: CBOT U.S. 30-Year Treasury Bond 301
Understanding the Equations for Computing Conversion Factors 302
Understanding Deliverable Grades of Treasury Securities 304
Web Sites 304
Chapter Summary 305
23 Options
What is an Option? 308
Purposes of Options 309
Factors that Determine Option Prices 311
Black-Scholes Options Pricing Model 312
The Assumptions for Black-Scholes 312
Understanding These Assumptions 313
An Immediate Problem with Black-Scholes for Bonds 314
Hedging and Hedging Ratios (The Greeks) 315
The Put-Call Parity Relationship 315
Hedging Ratios (The Greeks) 316
Another Mathematical Approach to Continuous Functions,
as Part of the Development of the Black-Scholes Model 317
Other Approaches: Fractal Analysis 318
Chapter Summary 319
Suggestions for Further Study 321
Index 323