New Deal Democrat Blog | Weekly High Frequency Indicators: Solid Corporate Profits Further Indicate Recession Risk Receding | TalkMarkets
Economy Writer
Contributor's Links: The Bonddad Blog
As a professional who started an individual investor for almost 30 years ago, I quickly focused on economic cycles and the order in which they typically proceed. I have been writing about the economy for nearly 15 of those years, developing several alternate systems that include mid-cycle, long ...more

Weekly High Frequency Indicators: Solid Corporate Profits Further Indicate Recession Risk Receding

Date: Saturday, November 2, 2019 7:12 AM EDT

Summary

  • High frequency indicators can give us a nearly up to the moment view of the economy.
  • The metrics are divided into long leading, short leading, and coincident indicators.
  • Importantly, corporate profits have improved solidly over the past two quarters.
  • As a result, recession risk is receding as the weak manufacturing sector is simply not enough to overcome the solid consumer sector.


Purpose

I look at the high frequency weekly indicators because while they can be very noisy, they provide a good nowcast of the economy and will telegraph the maintenance or change in the economy well before monthly or quarterly data is available. They are also an excellent way to "mark your beliefs to market." In general, I go in order of long leading indicators, then short leading indicators, then coincident indicators.

A Note on Methodology

Data is presented in a "just the facts, ma'am" format with a minimum of commentary so that bias is minimized.

Where relevant, I include 12-month highs and lows in the data in parentheses to the right. All data taken from St. Louis FRED unless otherwise linked.

A few items (e.g., Financial Conditions indexes, regional Fed indexes, stock prices, the yield curve) have their own metrics based on long-term studies of their behavior.

Where data is seasonally adjusted, generally it's scored positively if it's within the top 1/3 of that range, negative in the bottom 1/3, and neutral in between. Where it's not seasonally adjusted, and there are seasonal issues, waiting for the YoY change to change sign will lag the turning point. Thus I make use of a convention: Data is scored neutral if it is less than 1/2 as positive/negative as at its 12-month extreme.

With long leading indicators, which by definition turn at least 12 months before a turning point in the economy as a whole, there's an additional rule: Data is automatically negative if, during an expansion, it has not made a new peak in the past year, with the sole exception that it's scored neutral if it is moving in the right direction and is close to making a new high.

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