Correlation Between Dow Jones and Clover Power

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

Diversification Opportunities for Dow Jones and Clover Power

-0.52
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Dow and Clover is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Clover Power PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clover Power PCL 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 Clover Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clover Power PCL has no effect on the direction of Dow Jones i.e., Dow Jones and Clover Power go up and down completely randomly.
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Pair Corralation between Dow Jones and Clover Power

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate about the same return on investment as Clover Power PCL. But, Dow Jones Industrial is 14.76 times less risky than Clover Power. It trades about -0.24 of its potential returns per unit of risk. Clover Power PCL is currently generating about -0.02 per unit of risk. If you would invest  21.00  in Clover Power PCL on September 28, 2024 and sell it today you would lose (3.00) from holding Clover Power PCL or give up 14.29% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

Dow Jones Industrial  vs.  Clover Power PCL

 Performance 
       Timeline  

Dow Jones and Clover Power Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Clover Power

The main advantage of trading using opposite Dow Jones and Clover Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Clover Power 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 Clover Power will offset losses from the drop in Clover Power's long position.
The idea behind Dow Jones Industrial and Clover Power PCL 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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