Factor Investing checkpoint — the premium, priced
Course capstone. Four units ago a factor was a word in a fund's name. It is now a recipe, a regression, a cost line, and a set of drawdowns with dates.
The course in one architecture
- Beta is one factor; size, value, momentum, quality and low volatility are the others the data pay for — each a sort with a paper attached, each a long-run average containing decades that ran the other way (Unit 1).
- Whether a premium is a risk or a mistake decides whether to expect it after buying — and the honest answer sizes the allocation as if the history overstated it (Unit 1).
- A factor return is the top group minus the bottom; a fund holds only the top — and a portfolio carries loadings it never chose, readable from a regression or from its price-to-book (Unit 2).
- Timing does not work, crowding is capacity exceeded, and August 2007 is invisible in the index — the spread is for sizing, not trading (Unit 2).
- The rule is the product, the screen must be cleaned, momentum is 12-1, and turnover multiplies every cost — net return is the only ranking a holder receives (Unit 3).
- Backtests invent factors through survivorship, look-ahead and mining; value lost for four years and momentum lost a decade in a quarter; several factors beat the best one on the path (Unit 4).
The sentence, decoded
"A low-cost value fund captures the value premium." Run it through the instruments. Low-cost — a 0.03% fee with 10% turnover, or a 0.19% fee with the same idea and thirty points of difference over ten years, because the index rule is the product. Value — one provider's composite or another's book-to-price, on the top group only, with no short side. Captures — net of the cost waterfall, in a wrapper that decides the tax line. The premium — a risk premium that paid 18% against 124% for three years and eight months before it paid 31% against −4%. Every word has a number behind it now, and the numbers do not make it a bad fund. They make it a known one, with a drawdown you have already seen.
Where this connects
The ETF course before this one is the wrapper every factor fund lives in, and its data block checklist is the first read on any of them. The performance course's alpha-and-beta lesson is where the regression started; this course added four more columns to it. And the quant-coding domain's backtesting course is where a factor sort becomes code, with the honesty checklist from unit 4 as its test suite.
Checkpoint
The exam draws on all four units. The bar: a fund's holdings and a factor's name in front of you, and the ability to say what the fund holds, what it will cost, and what it did in 2009 and 2019.
Before you sit it
Each of these is a minute at your desk. Any one that is not names the lesson to reopen first.
- Compute 12-1 momentum from three closes and say why the last month is skipped — How do you compute momentum, and why skip the last month?
- State the value fund's return against growth's from January 2017 to August 2020, and what happened next — How long can a factor lose?
- Explain why a factor's paper return is not a fund's return, in two halves — What is a factor return, exactly?
- Name the three cost lines turnover multiplies, with the momentum fund's turnover figure — How much of a factor premium does trading eat?
Try it now
- Write the one-sentence version of each unit from memory — four sentences, your pocket card. Do this before opening anything.
- Then read the record for a factor fund this course never named, VBR, small-cap value, below: its number of holdings, its annual turnover and its fee. Write which two factors it holds, what the turnover says about its rule, and what the fee says about which provider wrote it.
- Finally, one measurement to close the course:
Measure from the small-cap fund's first year to today, then the same dates on the S&P 500 fund under it. That is what the oldest factor, size, delivered to anyone who held its long-only fund for a quarter of a century — and you can now say what it cost them, and in which years.