Correlation Between Dow Jones and SPDR Galaxy

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Can any of the company-specific risk be diversified away by investing in both Dow Jones and SPDR Galaxy at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Dow Jones and SPDR Galaxy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and SPDR Galaxy Digital, you can compare the effects of market volatilities on Dow Jones and SPDR Galaxy and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Dow Jones with a short position of SPDR Galaxy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and SPDR Galaxy.

Diversification Opportunities for Dow Jones and SPDR Galaxy

0.83
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Dow and SPDR is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and SPDR Galaxy Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Galaxy Digital and Dow Jones is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Dow Jones Industrial are associated (or correlated) with SPDR Galaxy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Galaxy Digital has no effect on the direction of Dow Jones i.e., Dow Jones and SPDR Galaxy go up and down completely randomly.
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Pair Corralation between Dow Jones and SPDR Galaxy

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.18 times more return on investment than SPDR Galaxy. However, Dow Jones Industrial is 5.42 times less risky than SPDR Galaxy. It trades about -0.21 of its potential returns per unit of risk. SPDR Galaxy Digital is currently generating about -0.08 per unit of risk. If you would invest  4,429,651  in Dow Jones Industrial on September 23, 2024 and sell it today you would lose (145,625) from holding Dow Jones Industrial or give up 3.29% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Dow Jones Industrial  vs.  SPDR Galaxy Digital

 Performance 
       Timeline  

Dow Jones and SPDR Galaxy Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and SPDR Galaxy

The main advantage of trading using opposite Dow Jones and SPDR Galaxy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, SPDR Galaxy can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SPDR Galaxy will offset losses from the drop in SPDR Galaxy's long position.
The idea behind Dow Jones Industrial and SPDR Galaxy Digital pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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