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Stephen Nefdt's List: correlations

    • Predicting the next move in the markets is the key to making money in trading - but putting this simple concept into action is much harder than it sounds. Professional forex traders have long known that trading currencies requires looking beyond the world of FX. The fact is that currencies are moved by many factors - supply and demand, politics, interest rates, economic growth, and so on. More specifically, since economic growth and exports are directly related to a country's domestic industry, it is natural for some currencies to be heavily correlated with commodity prices. The top three currencies that have the tightest correlations with commodities are the Australian dollar, the Canadian dollar and the New Zealand dollar. Other currencies that are also impacted by commodity prices, but have a weaker correlation, are the Swiss franc and the Japanese yen. Knowing which currency is correlated with what commodity and why can help traders understand and predict certain market movements. Here we look at currencies correlated with oil and gold and show you how you can use this information in your trading.
    • In fact, the dollar reacted very differently across various currencies simply because of that particular currency's correlation with commodity prices. Therefore, knowing what type of movement to expect in the Canadian dollar if oil prices drop, for example, will definitely help you make smarter decisions.

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    • The correlation between any two variables (or sets of variables) summarizes a relationship, whether or not there is any real-world connection between the two variables. The correlation coefficient will always be between -1 and +1. These two extremes are considered perfect correlations. A negative coefficient means that the two variables, or sets of variables, will move in opposite directions (if one variable increases, the other will decrease); a positive coefficient will mean that the two will move in the same direction (as one increases, the other will increase).

      If we compare the US Dollar Index (USDX), an index that tracks the value of the U.S. dollar against six other major currencies, and the value of the Dow Jones Industrial Average (DJIA), Nasdaq and S&P 500 over a 20-year period, the correlation coefficient calculated for the USDX versus the DJIA, Nasdaq and S&P 500, is 0.35, 0.39 and 0.38, respectively. Note that all of the coefficients are positive, which means that as the value of the U.S. dollar increases, so do the stock indexes, but only by a certain amount. Notice also that each coefficient is below 0.4, which means that only about 35% to 40% of the stock indexes' movements are associated with the movement of the U.S. dollar.
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      A country’s currency can become more valuable in relation to the rest of the world in two main ways: when the amount of currency units available in the world market place is reduced (for example, when the Fed increases interest rates and causes a reduction in spending), or by an increase in the demand for that particular currency. The fact that an increase in the U.S. dollar affects the value of American stocks seems natural, as U.S. dollars are needed to purchase stocks.

      The value of American stocks, especially those that are included in market indexes, tend to increase along with the demand for U.S. dollars - in other words, they are positively correlated. One possible explanation for this relationship is foreign investment. As more and more investors put their money in U.S. equities, they are required to first buy U.S. dollars, which can be used to purchase American stocks, causing the indexes to increase in value. 

      For more insight, see Commodity Prices And Currency Movements and Using Currency Correlations To Your Advantage.  
       
       
    • Think currency rates have nothing to do with stocks? Think again. They are actually quite close relatives, especially the relationship Nasdaq or Dow Jones and the US Dollars, Yen as well as Yen crosses. If you follow daily foreign exchange news, you will notice phrases such as "Yen and Dollar retreat as stock market rise" or "Yen crosses got hammered as stocks plunged." As a matter of fact, professional traders already accept this phenomenon as an indisputable fact that they don't see the need to mention it in the news.
    • The nature of forex market, however, is a little more sophisticated. When you deal with foreign exchange, it's always involved at least two different economies (or countries), not only one as in stock market. So the exchange rates are affected by both economies involved (in each currency pair). For example, when you trade the pair GBP/JPY, you have to watch out for what's going on in both Japan and England. Now, that's only the basics. The funny thing is, while there's nothing much going on in either of these two countries, this currency pair is actually moved by what happens in America! Reason? It's the "risk factor" that affects then Yen, which in turn affect this pair's rate.

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    • Yen as Proxy for Risk Aversion

           
       

      The US stock market has lost over 10% of its capitalization since reaching an all-time high in October of last year.  Meanwhile, the Japanese Yen has climbed at least as much in proportional terms since bottoming out around the same time.  Coincidence?  At least one analyst doesn’t think so. Because of the steadfast popularity of the carry trade, the Japanese Yen appears to have developed an inverse correlation with the US stock markets.  The reasoning is actually quite simple. When aversion to risk is low, investors borrow in Japanese Yen and make investments denominated in other currencies, the Dollar for one.  When risk-aversion increases, as it has in the current economic environment, investors have been quick to close out their carry trade positions, causing the Yen to rise. Maktoob Business reports:

       

      If the situation of stock markets is improving, the USD/JPY is likely to be increasing. It means that more carry trade transaction are being carried out.

       
       

      Read More: Fundamental analysis - Market Correlations

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