Correlation Between Dow Jones and MQGAU

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Can any of the company-specific risk be diversified away by investing in both Dow Jones and MQGAU 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 MQGAU 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 MQGAU 39 15 JAN 26, you can compare the effects of market volatilities on Dow Jones and MQGAU 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 MQGAU. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and MQGAU.

Diversification Opportunities for Dow Jones and MQGAU

0.37
  Correlation Coefficient

Weak diversification

The 3 months correlation between Dow and MQGAU is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and MQGAU 39 15 JAN 26 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MQGAU 15 JAN 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 MQGAU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MQGAU 15 JAN has no effect on the direction of Dow Jones i.e., Dow Jones and MQGAU go up and down completely randomly.
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Pair Corralation between Dow Jones and MQGAU

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the MQGAU. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.24 times less risky than MQGAU. The index trades about -0.04 of its potential returns per unit of risk. The MQGAU 39 15 JAN 26 is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  9,790  in MQGAU 39 15 JAN 26 on December 23, 2024 and sell it today you would earn a total of  25.00  from holding MQGAU 39 15 JAN 26 or generate 0.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy29.03%
ValuesDaily Returns

Dow Jones Industrial  vs.  MQGAU 39 15 JAN 26

 Performance 
       Timeline  

Dow Jones and MQGAU Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and MQGAU

The main advantage of trading using opposite Dow Jones and MQGAU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, MQGAU 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 MQGAU will offset losses from the drop in MQGAU's long position.
The idea behind Dow Jones Industrial and MQGAU 39 15 JAN 26 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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