Risk And Election-Year Corrections

 | Apr 02, 2014 02:02PM ET

h2 The Other Side Of The Midterm Coin

In an April 1 article , we cited two midterm election years, 1986 and 1994, as cases where assuming stocks would follow the accepted midterm correction script proved costly. Today, we look at midterm election years that experienced a mid-year correction and answer the question:

How can we monitor the risk of the midterm-election-year correction pattern in stocks playing out in 2014?

After understanding the “look” of a midterm correction and the fundamentals associated with each historical episode, we will compare those corrective periods to the present day. For those not familiar with the midterm correction theory, the text below provides a good summary:

Midterm election years are typically poor performers for most of the year until finding a bottom in the fall and beginning a rally which lasts well into the following pre-election year. The traditional approach to seasonality during a midterm election year shows the final high (prior to the long period of under-performance) in April.

The Same Concepts We Used In 1987 Example

Regular readers know our approach to the markets basically involves paying attention and making allocation adjustments, rather than allocating our investment capital based on predictions or forecasts. Since we have covered the concepts used in today’s article in the past, we will hit the high points below. If you are looking for more detail on how to assess investment probabilities using the charts below, see the following video segment from 1987:

1982: Falklands War

To monitor the risk of a midterm-election-year correction in stocks, you do not need to know much of anything about reading or using stock charts. A simple visual inspection can go a long way on the risk management front. The 1982-1983 chart below shows the S&P 500 in black/red and various moving averages in blue, red, and green. The risks of a stock market correction increase from a probability perspective when (a) price drops below all the moving averages, and (b) the slopes of all the moving averages roll over in a bearish manner. Conversely, the odds of good things happening in the stock market begin to improve when (a) price moves back above the moving averages, and (b) the slopes of the moving averages turn back up. The chart below sent up warning flares in May 1982. The stock market bottomed in August, which was soon followed by an improvement in the evidence on the chart.

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