But remember: correlation is not causation. Just because a butterfly flapped its wings before the stock market fell in 2015 doesn’t mean that the butterfly flapping its wings CAUSED the stock market’s decline.

Here’s proof that spikes in USDCNY (devaluing the Yuan) aren’t consistently bearish for the stock market.

2014

USDCNY spiked in mid-March 2014. The U.S. stock market continued to rally.

2015

The Chinese Yuan depreciated before the U.S. stock market fell in August 2015.

2016

The Chinese Yuan depreciated before the U.S. stock market fell in January 2016.

However, the Yuan depreciated from April 2016 – December 2016 while the stock market trended higher.

Conclusion

As you can see, the U.S. stock market’s reaction to a depreciating Chinese Yuan is mostly random. When USDCNY spikes and the Yuan depreciates, the stock market has a 50-50 chance of going up or down. In other words, correlation is not causation. What the Chinese Yuan does has no consistent impact on what the U.S. stock market does.

Likewise, the Chinese stock market has little bearing on the U.S. stock market. The long term correlation between the Shanghai Index and S&P 500 is literally random. The correlation constantly fluctuates between negative and positive.

A depreciating Yuan and falling Chinese stock market is not consistently bearish for U.S. stocks.

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By Troy Bombardia

BullMarkets.co

I’m Troy Bombardia, the author behind BullMarkets.co. I used to run a hedge fund, but closed it due to a major health scare. I am now enjoying life and simply investing/trading my own account. I focus on long term performance and ignore short term performance.

Disclaimer: The above is a matter of opinion provided for general information purposes only and is not intended as investment advice. Information and analysis above are derived from sources and utilising methods believed to be reliable, but we cannot accept responsibility for any losses you may incur as a result of this analysis. Individuals should consult with their personal financial advisors.

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