Monitoring Business Cycles Today
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A Framework That Provides Clarity
During periods of so-called “low visibility,” confusion reigns: for every indication of one trend, there seems to be evidence of a countertrend.
The key is to glean from the collective wisdom of reliable leading indicators an assessment of cyclical turning point risk. But a single composite index is not enough.
- To monitor the U.S. economy alone, we use an array of more than a dozen specialized leading indexes in the context of the ECRI framework for incorporating various sectors and aspects of the economy.
- The ECRI framework covers 22 economies, incorporating indexes designed to be comparable across borders. Collectively, these add up to well over 100 proprietary indexes.
State-of-the-Art Forecasting
Our ability to predict turning points has advanced considerably since the original index of leading economic indicators (LEI) was created by ECRI co-founder Geoffrey H. Moore and adopted by the U.S. government in the 1960s. Building on that foundation, by the mid-1990s ECRI had developed a far more sophisticated framework for analyzing international economic cycles at the cutting edge of business cycle research and forecasting. Today, ECRI uses this highly nuanced “many-cycles” view to monitor the complex dynamics of the global economy.
Our Track Record
Testimonial
I find that ECRI's historical knowledge of economic cycles and data is almost as important to me as your indicators of future cycles.
ECRI can justify a certain smugness now that business cycles are back in fashion. The institute called the last two recessions and the current recovery months ahead of the pack.
[T]he Economic Cycle Research Institute [is] a private forecasting group with an excellent track record.
"eerily accurate"
Inflation Ahoy! We're indebted to the ECRI, that unnapping watchdog of inflation, for the FIG data.
(ECRI's) forecast of the [Great] recession helped us anticipate reduced merchandise sales; we proactively revised our inventory forecasts down months ago, and that has helped to greatly minimize the inventory swell and need for markdowns.
