SECTION 1
Historical Context & Motivation
Lending and borrowing money is as old as civilization itself, yet the mathematics behind structured repayment evolved slowly over centuries. In ancient Mesopotamia, clay tablets recorded interest charged on grain loans, but borrowers had no systematic way to track how each payment reduced their debt. As trade networks grew, so did the need for fair, predictable repayment plans — the ancestors of what we now call amortization schedules. Understanding this history helps explain why the formulas you will learn in this lesson exist and why they matter in the modern world.
1800 BCE • Babylonian Interest Records
1494 • Pacioli's Double-Entry Bookkeeping
1613 • Compound Interest Tables
1930s • Modern Mortgage Amortization
2000s • Digital Financial Modeling
The central question this lesson addresses is deceptively simple: if you borrow a large sum of money and agree to repay it in equal installments, how much of each payment goes toward reducing the actual debt, and how much is swallowed up by interest? Answering this question precisely is the purpose of complex financial models and amortization schedules.
SECTION 2
Core Principles & Definitions
Before diving into formulas, you need to understand a handful of foundational ideas. These concepts form the building blocks for every loan calculation, annuity formula, and amortization table you will encounter in the HL extension.
Present Value (PV)
Future Value (FV)
Annuity
Amortization
Nominal vs Effective Rate
KEY TAKEAWAY
SECTION 3
Visualizing an Amortization Schedule
The stacked-bar diagram below shows how each equal monthly payment on a 10-year loan is split between interest and principal over the life of the loan. Notice how the interest portion (pink) shrinks while the principal portion (cyan) grows. The total height of each bar stays the same because the payment amount is fixed.
This visual makes a critical point: the bank receives most of its interest revenue in the early years. If you make extra payments early in the loan, you save far more money than if you make extra payments near the end. This is because reducing the outstanding balance early means less interest accumulates in every subsequent period — a powerful insight for personal finance.
SECTION 4
Mathematical Framework
The formulas in this section are central to AHL 1.9. They connect the concepts of present value, future value, and annuities into a coherent mathematical framework. You should be comfortable using these on your GDC (graphing display calculator) as well as by hand for short calculations.
PRESENT VALUE OF AN ORDINARY ANNUITY
PV = present value (loan amount), PMT = payment per period, i = interest rate per compounding period (as a decimal), n = total number of payment periods.
PAYMENT FORMULA (REARRANGED)
This is the annuity formula solved for the periodic payment. It tells you the fixed amount you must pay each period to fully repay the loan in exactly n periods.
OUTSTANDING BALANCE AFTER k PAYMENTS
= outstanding balance after k payments. This formula lets you find how much you still owe at any point during the loan without constructing the entire amortization table.
EFFECTIVE ANNUAL RATE
r_eff = effective annual interest rate, r_nom = nominal annual interest rate, k = number of compounding periods per year. When interest compounds monthly, k = 12.
IB EXAM TIP
SECTION 5
Building an Amortization Schedule
An amortization schedule is a period-by-period table that tracks the interest charged, principal repaid, and remaining balance for every single payment. Constructing one by hand teaches you exactly how each row feeds into the next. Consider a loan of $10,000 at a nominal annual rate of 6% compounded monthly, repaid over 5 months. The monthly rate is i = 0.06 / 12 = 0.005.
Using the payment formula: PMT = 10 000 × [0.005 / (1 − 1.005⁻⁵)] ≈ $2,030.10. The table below shows every row of this short loan.
| Period | Payment ($) | Interest ($) | Principal ($) | Balance ($) |
|---|---|---|---|---|
| 0 | — | — | — | 10,000.00 |
| 1 | 2,030.10 | 50.00 | 1,980.10 | 8,019.90 |
| 2 | 2,030.10 | 40.10 | 1,990.00 | 6,029.90 |
| 3 | 2,030.10 | 30.15 | 1,999.95 | 4,029.95 |
| 4 | 2,030.10 | 20.15 | 2,009.95 | 2,020.00 |
| 5 | 2,030.10 | 10.10 | 2,020.00 | 0.00 |
Amortization schedule for a $10,000 loan at 6% nominal rate, compounded monthly, over 5 months.
Notice a crucial pattern in the table: the interest column decreases each period while the principal column increases. This happens because the outstanding balance (on which interest is calculated) shrinks after every payment. The total of all interest paid across the five periods is $50.00 + $40.10 + $30.15 + $20.15 + $10.10 = $150.50. So the borrower repays a total of $10,150.50 for a $10,000 loan — the extra $150.50 is the cost of borrowing.
SECTION 6
Worked Example — Home Loan Analysis
Aisha takes out a home loan of $250,000 at a nominal annual interest rate of 4.8% compounded monthly. She will repay the loan with equal monthly payments over 25 years. Find (a) the monthly payment, (b) the outstanding balance after 10 years, and (c) the total interest paid over the life of the loan.
Home Loan — Full Analysis
- 1
Step 1 — Identify Given Values
PV = $250,000, nominal annual rate r = 4.8%, compounding monthly so k = 12, loan term = 25 years. The periodic interest rate is i = 0.048 / 12 = 0.004. The total number of payments is n = 25 × 12 = 300.i = 0.004, n = 300 - 2
Step 2 — Calculate Monthly Payment (Part a)
Substitute into PMT = PV × [ i / (1 − (1 + i)⁻ⁿ) ]. PMT = 250,000 × [ 0.004 / (1 − (1.004)⁻³⁰⁰) ]. First compute (1.004)⁻³⁰⁰. Using a calculator: (1.004)³⁰⁰ ≈ 3.3102, so (1.004)⁻³⁰⁰ ≈ 0.30210. Then 1 − 0.30210 = 0.69790. So PMT = 250,000 × (0.004 / 0.69790) = 250,000 × 0.0057311 ≈ $1,432.78.Monthly payment ≈ $1,432.78 - 3
Step 3 — Outstanding Balance After 10 Years (Part b)
After 10 years, k = 120 payments have been made. Use = PV × (1 + i)ᵏ − PMT × [((1 + i)ᵏ − 1) / i]. B₁₂₀ = 250,000 × (1.004)¹²⁰ − 1,432.78 × [((1.004)¹²⁰ − 1) / 0.004]. Compute (1.004)¹²⁰ ≈ 1.61222. Then B₁₂₀ = 250,000 × 1.61222 − 1,432.78 × [(1.61222 − 1) / 0.004] = 403,055 − 1,432.78 × 153.055 = 403,055 − 219,283 ≈ $183,772.Outstanding balance after 10 years ≈ $183,772 - 4
Step 4 — Total Interest Paid (Part c)
Total amount repaid = PMT × n = 1,432.78 × 300 = $429,834. Total interest = total repaid − principal borrowed = 429,834 − 250,000 = $179,834. This means Aisha pays almost 72% of the original loan amount in interest alone — a sobering illustration of long-term borrowing costs.Total interest paid ≈ $179,834
REALITY CHECK
SECTION 7
Comparing Loan Structures
Not all loans work the same way. Understanding the differences between common repayment structures helps you evaluate which option is most suitable for a given scenario — a skill tested regularly in IB HL exam questions.
| Feature | Fully Amortizing Loan | Interest-Only Loan | Reducing-Balance Loan |
|---|---|---|---|
| Payment structure | Equal periodic payments throughout the term | Only interest is paid each period; principal repaid as a lump sum at the end | Equal principal portions plus decreasing interest; total payment decreases over time |
| Total interest paid | Moderate — interest decreases as principal is repaid | Highest — full principal accrues interest for the entire term | Lowest — principal decreases fastest |
| Cash-flow predictability | High — same amount every period | High for interest payments, but requires a large final payment | Lower — payments change each period |
| Common use | Mortgages, car loans, student loans | Investment property loans, corporate bonds | Some business loans in certain countries |
Comparison of three common loan repayment structures
KEY TAKEAWAY
SECTION 8
Connections to Advanced Financial Theory
The amortization formulas you have learned are a gateway to more advanced financial concepts encountered in university-level economics and actuarial science. The table below highlights how AHL 1.9 ideas extend into more sophisticated territory.
| AHL 1.9 Concept | Advanced Extension |
|---|---|
| Present value of an annuity (fixed payments) | Net Present Value (NPV) analysis for variable cash flows, used in business investment decisions |
| Fixed nominal interest rate | Variable / floating interest rates that adjust periodically based on market benchmarks (e.g., adjustable-rate mortgages) |
| Effective annual rate with discrete compounding | Continuous compounding using FV = PV × , connecting financial math to exponential calculus |
| Single annuity stream | Annuities with growth (geometric series), modeling salary increases contributing to a pension |
| Outstanding balance after k periods | Bond pricing and yield-to-maturity calculations, where the 'balance' concept becomes the bond's par value |
From AHL 1.9 to university-level financial mathematics
If you pursue studies in economics, business, or actuarial science, you will find that the annuity and amortization formulas from this course reappear in almost every advanced topic. Mastering them now gives you a significant head start. Additionally, IB exam questions may ask you to interpret the financial implications of different models — understanding the underlying mathematics makes those interpretations much more confident and precise.
SECTION 9
Practice Problems
Question 1: CONCEPTUAL
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Question 2: BASIC CALCULATION
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Question 3: INTERMEDIATE
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Question 4: APPLIED
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Question 5: CRITICAL THINKING
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SUMMARY
Lesson Summary
Summary
In this lesson you explored complex financial models centered on the present value of an ordinary annuity formula PV = PMT × [(1 − (1 + i)⁻ⁿ) / i] and its rearranged form for finding the periodic payment. You learned to construct amortization schedules row by row — computing the interest charge, principal repaid, and new outstanding balance for each period — and saw how the outstanding balance formula = PV(1+i)ᵏ − PMT × [((1+i)ᵏ − 1)/i] lets you jump to any point in the schedule without filling in every row.
Key insights include the fact that interest is front-loaded in fully amortizing loans, the importance of distinguishing nominal and effective interest rates when comparing offers, and the dramatic savings that result from early lump-sum payments. These tools connect directly to real-world decisions about mortgages, car loans, and student debt, and they form the mathematical foundation for more advanced topics like NPV analysis and bond pricing in university-level finance.