Using Economic Indicators to Improve Investment Analysis
Evelina M. Tainer · 1993 · 356 pages
This is a 300-page field guide to reading GDP, employment, inflation, and Fed releases, not a trading strategy. The one chapter that tries to turn that knowledge into decisions is 20 pages of anecdotes at the very end.
The one idea
The book's real thesis is that eleven of its twelve chapters are reference material: what each government release measures, who publishes it, when it comes out, and what a rising or falling reading usually means for the economy. Chapters 2 through 9 go sector by sector (consumer spending, investment, foreign trade, government, inflation, labor) and chapters 10 and 11 cover the Federal Reserve and the Treasury market. None of that is a method. It is context you are supposed to already have, or build up, before the book's actual advice arrives.
That advice shows up only in Chapter 12, 'Making Strategic Investment Decisions.' Tainer's argument there is that individual investors cannot compete with professional traders on speed (the 8:30 a.m. Eastern release window belongs to institutions with direct wire feeds and standing broker relationships), so the productive use of economic data for a retail investor is long-term positioning, not trading the print. She frames this as tracking the business cycle (five phases: peak, downturn/recession, trough, recovery, expansion) and using sector-level indicators to time bond duration, mortgage type, and sector stock selection over a horizon of months to years.
The mechanism, such as it is: interest rates fall in recessions and rise in expansions, so buy long bonds when rates are elevated late in an expansion and buy rate-sensitive stocks (homebuilders, retailers, autos) when their underlying economic driver is depressed but about to turn. She illustrates this with her own bond purchase and two stock examples, but the book never states a rule for when the turn actually is, only that you should be watching year-over-year percent changes in the relevant sector data over a minimum five-year window.
What it actually teaches
Tainer's Chapter 12 process for turning an economic release into a stock decision runs in four steps.
PICK THE COMPANY FIRST
Start from a stock you already have a reason to like (she cites Peter Lynch's buy-what-you-know approach) and read its financial statements to find out which businesses actually drive its revenue. Her own example: GM and Ford both earn a large share of profit from financing arms (GMAC), not just vehicle sales, so an investor analyzing either has to track auto sales and financing conditions separately.
IDENTIFY WHAT DRIVES THAT BUSINESS
Name the specific economic forces behind demand for that company's product. For Home Depot and Lowe's, that means interest rates (mortgage-sensitive discretionary spending) and disposable income. For GM and Ford, it means disposable income, the unemployment rate, and interest rates (financing margins are wider when rates are low, not high).
MATCH TO THE SPECIFIC RELEASE AND SUBCOMPONENT
Do not use the headline number, use the component that maps to the business. Total retail sales tells you whether consumers are shopping; the building materials store subcomponent of that same release (Table 3.1 in the book) tells you whether Home Depot's customers specifically are shopping. She lists disposable income (BEA, monthly), the 10-year Treasury yield or a mortgage rate (Fed's website), and building materials retail sales (Census Bureau) as the three series she pulled for the Home Depot case.
COMPARE YEAR-OVER-YEAR PERCENT CHANGES, NOT LEVELS
Convert both the stock price and the indicator to year-over-year percent change before comparing them, because a $10 to $100 stock price and a multi-billion-dollar income series are not on the same scale. She recommends at least five years of data, ideally spanning both a full recession and expansion, so the relationship holds across a full cycle rather than one direction of it. Her worked example: Home Depot's year-over-year share price change tracked the Fed funds rate more closely than the 10-year Treasury yield across 2000 to 2005 (Figure 12.9c), and she calls that the more useful of the two rate comparisons for that stock specifically.
What it looks like Monday morning
A reader finishes this book with a checklist for reading a data release, not a checklist for entering a trade. What changes is preparation: pull the subcomponent breakdown of the next retail sales or industrial production report instead of the headline, and check whether it lines up with the specific stock or sector already on a watchlist, using year-over-year change rather than level.
It also resets expectations about timing economic news itself. Tainer, a professional forecaster for 25 years by her own account in the book, says she would not buy bonds on employment Friday even though nonfarm payrolls is the single biggest bond-market mover she covers, because the extra basis point or two of yield is not worth the intraday volatility for a long-term holder. The realistic Monday-morning change is scheduling around the calendar (FOMC, CPI, PPI, retail sales, ISM manufacturing, the five releases she names as most likely to move markets sharply) rather than trading through it.
| Peak | Trough | Months of Recession | Months of Prior Expansion |
|---|---|---|---|
| Nov 1948 | Oct 1949 | 11 | 36 |
| Jul 1953 | May 1954 | 10 | 44 |
| Jul 1957 | Apr 1958 | 9 | 37 |
| Apr 1960 | Feb 1961 | 10 | 23 |
| Dec 1969 | Nov 1970 | 11 | 105 |
| Nov 1973 | Mar 1975 | 16 | 36 |
| Jan 1980 | Jul 1980 | 6 | 57 |
| Jul 1981 | Nov 1982 | 16 | 11 |
| Jul 1990 | Mar 1991 | 8 | 92 |
| Mar 2001 | Nov 2001 | 8 | 120 |
Average postwar recession ran just over 10 months; the book uses this table to frame how long a strategic, cycle-based position might need to be held.
It does not take an advanced economics degree to make this investment decision.Evelina M. Tainer, Using Economic Indicators to Improve Investment Analysis
Where it fails
- The method chapter is 20 pages out of 300. Chapters 1 through 11 (roughly 280 pages) are indicator reference material: what the Census Bureau's advance retail sales report covers, how seasonal adjustment works, what NAICS codes mean. That is useful as a glossary but it is not analysis, and a reader who wants the investment framework has to skip straight to Chapter 12, which itself has no numbered process until its final three pages.
- The examples are the author's own trades, told after the fact, and two of the three admit she got the timing wrong. She missed buying Harley-Davidson in 2001 because the stock rallied before she acted, missed it again after 9/11 for the same reason, and eventually sold her 2002 purchase in 2005 based on analyst forecasts rather than the softening economic data she describes as her own method, taking a smaller profit than she could have. These are presented as illustrations, not as evidence the approach reliably produces entries at good prices, and there is no case study where the framework worked cleanly start to finish.
- There is no defined signal, threshold, or exit rule anywhere in the book. The method says to compare year-over-year percent changes in a stock and its driving indicator over five-plus years and watch for the relationship to shift, but never specifies how large a divergence matters, how many months of confirmation to require, or what to do when the indicator and the stock disagree (which happens in her own Home Depot income chart, where she says the relationship 'is not convincing'). Every decision point in Chapter 12 is phrased as a question to ask yourself, not a rule.
- The book assumes a reader who wants to hand-build correlation charts from three different government websites. The Home Depot walkthrough requires pulling daily stock prices from a finance site, interest rate history from the Federal Reserve's website, disposable income from the BEA, and retail sales subcomponents from the Census Bureau, then converting all of it to year-over-year change and charting it yourself. Tainer calls this 'a little time-consuming, but it can be done,' with no software, screener, or shortcut offered; a reader without spreadsheet habits will stop here.
- Some of the sourcing detail is dated even within the 3rd edition (2006). The book still describes emailed release notifications arriving within 5 to 15 minutes and treats that as fast; it predates real-time data terminals being affordable to retail investors, predates most current econ-data APIs, and its interest-rate era (Fed funds near zero in 2003-2004, 10-year yields in the 4 to 5.5 percent range in 2001-2005) is a specific low-rate stretch that does not generalize to the higher-rate periods since 2022. The book does not revisit or update these once the environment changes, because it wasn't republished after the 3rd edition.
Who it is for
Buy it if
You manage your own long-term portfolio, already know how to read a financial statement, and want a single reference that maps GDP, employment, inflation, and Fed releases to their government sources and subcomponents so you can build your own sector-rotation or bond-duration logic around the business cycle.
Skip it if
You are looking for a trading system, a signal, or an entry and exit rule. Nothing in this book specifies one. Skip it too if you already know the standard indicator calendar and sources; you will be paying for 280 pages of glossary to get to 20 pages of loosely connected examples.
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