ValueScreener

Lesson 3 of 8

The drawdown, measured

The book-to-market factor peaked in December 2006 and fell 57.8 percent over the next fourteen years. Here is the measurement, from the published series.

Javier Sanz, founder

By Javier Sanz

Founder of ValueScreener. Built Ninety Nine, a securities services provider, and sold it to a tier-one global bank; ran operations and internationalization at Alpaca, the brokerage API.

Who writes thisEditorial processLinkedIn (opens in a new tab)X (opens in a new tab)

In one minute

  • The published book-to-market factor peaked in December 2006 and had fallen 57.8 percent by September 2020.
  • It had not regained that peak by July 2026, the last month in the file used here, which makes the episode longer than any career-length horizon.
  • Over the same window the market itself returned 236 percent, so the loss was relative as well as absolute.

The long drawdown is usually described. This lesson measures it, from the monthly factor series that the studies themselves are built on, so that every figure below can be recomputed by anyone who downloads the same file.

The high minus low book-to-market factor, cumulative, at four dates

  • Cumulative factor return, Dec 2006 = 100
Show the numbers
Cumulative factor return, Dec 2006 = 100
Dec 2006100index
Dec 201079.8index
Dec 201571.9index
Sep 202042.2index
Jul 202670.4index
Source: Fama and French three-factor monthly series, Kenneth R. French data library, file built from the July 2026 CRSP database, downloaded 2026-09-13. Index set to 100 at the December 2006 peak..

What was measured, and how

The series is the monthly return on a portfolio that holds high book-to-market companies and sells low book-to-market companies. Compounding those monthly returns from July 1926 gives a cumulative index. The peak of that index is December 2006. The trough is September 2020. The fall between them is 57.8 percent, and the file's last month, July 2026, still sits below the 2006 level.

That is thirteen years and nine months from peak to trough, and the recovery is incomplete after a further five and a half years.

Three ways to say how bad it was

How unusual is that, in the full record

Take every ten-year window in the series, month by month, from July 1926 onwards. There are 1,082 of them. The factor return was negative in 155, which is 14 percent of all of them.

So a decade of no premium is not a freak event in this data: roughly one window in seven. What made the period after 2006 different was its depth and its length, not the mere fact of a losing decade.

What this does and does not establish

It does not establish that the premium is gone, and nothing in an arithmetic exercise could. It establishes the size of the hole a person had to sit in while finding out, which is a fact about the discipline rather than about the statistics.

A method whose evidence is an average across a century commits its user to periods like this one. The honest version of the claim is not that value investing works. It is that in this record it has worked on average across a century, and that the average contains a fourteen-year stretch nobody could have distinguished from failure while living through it.

The recovery is worth reading carefully too, because it is the part most summaries get wrong in both directions. From the September 2020 trough the factor did rise: the index stands at 70.4 in July 2026 against 42.2 at the bottom. That is a substantial run, and it still leaves the series 29.6 percent below where it stood in December 2006, almost twenty years earlier. Both sentences are true, and a reader who has only heard one of them has been told half of it.

There is a second reason to measure rather than describe. Any statement about this episode depends on the date the speaker stopped counting. Measured to December 2019 the drawdown is bad; measured to September 2020 it is far worse; measured to today it is partly recovered. The same series supports three different stories, and the only defence against being told whichever one suits the teller is knowing which month the number ends on.

Check yourself

How far did the book-to-market factor fall from its December 2006 peak?

  1. About 20 percent
  2. 57.8 percent, to its trough in September 2020
  3. It never fell

Show the answer

Answer: B.

Compounding the published monthly factor returns gives a peak in December 2006 and a trough in September 2020, a fall of 57.8 percent.

What did the market return over the same peak-to-trough window?

  1. It fell by a similar amount
  2. It returned about 236 percent
  3. It was flat

Show the answer

Answer: B.

The market total return over December 2006 to September 2020 was 236.1 percent in the same file, so the shortfall was relative as well as absolute.

In the full record since 1926, what share of ten-year windows had a negative factor return?

  1. None
  2. About 14 percent, or 155 of 1,082 windows
  3. About half

Show the answer

Answer: B.

Roughly one ten-year window in seven was negative. A losing decade is uncommon in this data without being rare.

Sources

  • Fama and French three-factor monthly series, Kenneth R. French data library, file built from the July 2026 CRSP database. Downloaded 2026-09-13, and every figure on this page computed from it for this lesson.

What this leaves out

  • The series is a long-short research portfolio with no costs, no taxes, no borrowing limit and no capacity constraint. Nobody held it.
  • A factor drawdown is not the return of any value investor. A person holding ten companies had their own path, which could be better or worse.
  • Index values in the figure are computed here from the monthly series; only the underlying monthly returns are published.
  • The last month in the file is July 2026, so every statement about recovery is a statement about that date.
  • Nothing here forecasts what the factor does next, and none of it is advice.

The method, not the running of it

Lesson 3 of 8 of What the evidence actually shows. It teaches how the step is run. It does not run it on anything you own, and it cannot tell you the day a reason you bought on stops being true.

Free audit
  • Value's long drawdown covers the three 2021 papers that examined this stretch and what each concluded.
  • Surviving a drawdown is the practical half: what a long stretch of being wrong does to the person holding it.

Research tool, not investment advice. See our methodology for how the product reads a filing and what it refuses to compute.

Once a week, what changed in the filings of US-listed companies, why it can matter to a thesis, and what deserves a closer review. Grounded in filings, not market noise.