June 6th 2011
How to Trade the Franc-Yen-Dollar Correlation
Last week, the Wall Street Journal published an article entitled, “Currency Correlations Lose Their Way for Now.” My response: It depends on which currencies you’re looking at. I, too, recently posted about the break-down of multi-year correlations, specifically involving the Australian Dollar and the New Zealand Dollar. However, one has to look no further than the Swiss Franc to see that in fact currency correlations are not only extant, but flourishing!
I stumbled upon this correlation inadvertently, with the intention (call it a twisted hobby…) of refuting the crux of the WSJ article, which is that “Standard relationships between risk appetite and safe havens, and yields and risky assets, are lost as investors appear to scramble in their efforts to adapt to a new direction.” Basically, the author asserted that forex traders are searching for guidance amidst conflicting signals, but this has caused the three traditional safe haven currencies to behave erratically: apparently, the Franc has soared, the Yen has crashed, and the US Dollar has stagnated.
I pulled up a one-year chart of the CHFUSD and the CHFJPY in order to confirm that this was indeed the case. As you can see from the chart above, it most certainly is not. With scant exception, the Swiss Franc’s rise against both the US Dollar and the Japanese Yen has been both consistent and dependable. The only reason that there is any gap between the two pairs is because the Yen has outperformed the dollar over the same time period. If you shorten the time frame to six months or less, the two pairs come very close to complete convergence.
In order to provide more support for this observation, I turned to the currency correlations page of Mataf.net (the founder of which I interviewed only last month). Sure enough, there is a current weekly correlation of 93% [it is displayed as negative below because of the way the currencies are ordered] between the CHFUSD and the CHFJPY, which is to say that the two are almost perfectly correlated. (Incidentally, the correlation coefficient between the USDCHF and the USDJPY is a solid 81%, which shows that relative to the Dollar, the Yen and Franc are highly correlated). Moreover, if Mataf.net offered correlation data based on monthly fluctuations, my guess it that the correlations would be even tighter. In any event, you can see from the chart that even the weekly correlation has been quite strong for most of the weeks over the last year.
The first question most traders will invariably ask is, “Why is this the case?” What is causing this correlation? In a nutshell, the answer is that the WSJ is wrong. As I wrote last month, the safe haven trade is alive and well. Otherwise, why would two currencies as disparate as the Franc and the Yen (whose economic, fiscal, and monetary situations couldn’t be more different) be moving in tandem? The fact that they are highly correlated shows that regardless of whether they are rising or falling is less noteworthy than the fact that they tend to rise and fall together. Generally speaking, when there is aversion to risk, both rise. When there is appetite for risk, they both fall.
The superseding question is, “What should I do with this information?” Here’s an idea: how about using this correlation for diversification purposes? In other words, if you were to make a bet on risk aversion, for example, why not sell both the USDJPY as well as the USDCHF? In this way, you can trade this idea without putting all of your eggs in one basket. If risk aversion picks up, but Japan defaults on its debt (an extreme possibility, but you see my point), you would certainly do better than if you had only sold the USDJPY. The same goes for making a bet on the Franc. Whether you believe it will continue rising or instead suffer a correction, you can limit your exposure to counter currency (i.e. the dollar and yen) risk by trading two (or more) correlated pairs simultaneously.
In the end, just knowing that the correlation exists is often enough because of what it tells you about the mindset of investors. In this case, it is just more proof that they remain heavily fixated on the idea of risk.