Rare And Rapid Drop: Stocks And Past Manufacturing Declines
Chris Ciovacco | Oct 02, 2019 05:26PM ET
The ISM Manufacturing PMI Index came in well below expectations on October 1, 2019 sparking renewed fear of a recession.
Given the Manufacturing Index was strong in August 2018 and plunged rapidly to the October 1, 2019 level, it might be helpful to know how many similar drops from above the blue line to below the black line have occurred since 1982 and how did the stock market perform over the next five years? The answer to the first question is five previous times (see chart below).
The answer to the question how did the stock market perform over the next five years is “quite well.” In the first two years, 80% of the cases posted positive returns. All historical cases (1982-2019) posted gains after four and five years.
In the present-day case, it took 1.08 years for ISM Manufacturing PMI to drop from the peak above the blue line to below the black line. As you can see in the table above, the three most similar “rapid drops in ISM Manufacturing PMI” cases were 1985, 1989 and 1995. The 2008 and 2016 cases required over four years to see a similar drop to what just occurred in a little over a year. If we isolate the similar “rapid-plunge” cases, historical performance was more satisfying.
Get The News You Want
The present-day case has many unique circumstances and will follow a unique path. This study simply provides some additional historical context. The bearish case for a rapid plunge in manufacturing data is easy to understand and will get plenty of coverage. These studies, based on history, tell us to keep an open mind about all outcomes from wildly bearish to wildly bullish.
You can make that argument about 100% of the historical studies performed about the economy and financial markets. No two periods in human and market history have the exact same combination of fundamentals, technicals, valuations, interest rates, inflation, etc. Today is always different; that is a constant in the markets.
h3 What About Small Sample Sizes?/h3The limited sample size of the similar cases above is what it is. We cannot control sample sizes. There have only been three 40%-plus declines in the S&P 500 since 1950 (1973-74, 2000-2002, and 2007-2009), which also represents a very small sample size. Are we supposed to totally ignore these major declines because of the small sample size? According to Reuters, the S&P 500 was officially launched on March 4, 1957, meaning any S&P 500 study deals with a very limited historical data set. It is what it is.
When we study rare events, we acknowledge the sample size and try to learn anything that can add value in the present day. The same concepts apply to the studies above. There are countless economic and market studies that are based on small sample sizes. Typically, the small-sample-size argument is only raised when the results run counter to someone’s personal opinion. When results agree with someone’s personal view, the small sample size is suddenly not a problem. If you believe a study or data set is irrelevant, there is an easy solution - ignore it.
Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers.