1000 * (1 + 0.05)^10 # future value of $1,000 at 5% for 10 years
#> [1] 1628.895Personal Finance: a field manual
Welcome!
This is a Personal Finance field manual: a working reference for the day-to-day decisions that shape your financial life. It covers budgeting, saving, borrowing, investing, taxes, insurance, and planning.
This book aims to answer questions like:
“Where is my money going each month?”
“How much should I have in an emergency fund?”
“Should I pay down debt or invest first?”
“Which retirement account makes sense for me?”
“How do I pick an index fund?”
How this book is organized
The book is divided into five parts:
- Foundations: budgeting, tracking spending, emergency funds, and debt.
- Savings: savings strategies, high-yield accounts, and automation.
- Investing: the basics, retirement accounts, index funds, and asset allocation.
- Taxes & insurance: the protective layer around your finances.
- Planning: goals, major purchases, and estate planning.
The five sections of the book map into four levers:
The four levers
| Lever | Question |
|---|---|
| Income | How much comes in? |
| Spending | How much goes out? |
| Savings | How much is set aside? |
| Investing | What happens to the rest? |
Each lever has its own part in this book:
- Foundations: Income, budgeting, and spending are the behaviors that will have the biggest impact on your financial health. You’ll also want to manage the money you borrow, and plan for emergencies.
- Savings covers different ways to put money aside, different kinds of savings accounts, and the most important behavior for disciplined savings: automation.
- Investing is what happens to the money you save over the long term.
- Taxes & insurance & Planning sit around the outside.
Each chapter is short and self-contained so you can jump in where you need to.
Math
Whatever math is covered in this book can be done with a calculator, spreadsheet, or some basic programming skills. If you’re interested in following along or performing any of the calculations yourself, I’ve provided examples in Microsoft Excel and both R and Python.
Example R code:
Example Python code:
1000 * (1 + 0.05) ** 10
#> 1628.894626777442