Correlation Between Meta Materials and DOW

By analyzing existing cross correlation between Meta Materials and DOW, you can compare the effects of market volatilities on Meta Materials and DOW 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 Meta Materials with a short position of DOW. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Materials and DOW.

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Can any of the company-specific risk be diversified away by investing in both Meta Materials and DOW 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 Meta Materials and DOW into the same portfolio, which is an essential part of the fundamental portfolio management process.

Diversification Opportunities for Meta Materials and DOW

-0.5
  Correlation Coefficient
Meta Materials
DOW

Very good diversification

The 3 months correlation between Meta Materials and DOW is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Meta Materials and DOW in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DOW and Meta Materials 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 Meta Materials are associated (or correlated) with DOW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DOW has no effect on the direction of Meta Materials i.e., Meta Materials and DOW go up and down completely randomly.
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Pair Corralation between Meta Materials and DOW

Given the investment horizon of 90 days Meta Materials is expected to generate 7.72 times more return on investment than DOW. However, Meta Materials is 7.72 times more volatile than DOW. It trades about 0.15 of its potential returns per unit of risk. DOW is currently generating about 0.03 per unit of risk. If you would invest  342.00  in Meta Materials on July 24, 2021 and sell it today you would earn a total of  132.00  from holding Meta Materials or generate 38.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Meta Materials  vs.  DOW

 Performance (%) 
      Timeline 

Meta Materials and DOW Volatility Contrast

 Predicted Return Density 
      Returns 

DOW

Pair trading matchups for DOW

Global X vs. DOW
BALKRISHNA INDUSTRIES vs. DOW
Indian Railway vs. DOW
NAVIN FLUORINE vs. DOW
ASIAN PAINTS vs. DOW
RADICO KHAITAN vs. DOW
US Copper vs. DOW
APL APOLLO vs. DOW
PIDILITE INDUSTRIES vs. DOW
Salesforce vs. DOW
Macys vs. DOW
Ocugen vs. DOW
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against DOW as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. DOW's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, DOW's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to DOW.

Pair Trading with Meta Materials and DOW

The main advantage of trading using opposite Meta Materials and DOW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Materials position performs unexpectedly, DOW 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 DOW will offset losses from the drop in DOW's long position.
The idea behind Meta Materials and DOW 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.

DOW

Pair trading matchups for DOW

Apple vs. DOW
SAREGAMA INDIA vs. DOW
APL APOLLO vs. DOW
Goodyear Tire vs. DOW
US Global vs. DOW
MARICO vs. DOW
NAVIN FLUORINE vs. DOW
Merck vs. DOW
ASIAN PAINTS vs. DOW
BALKRISHNA INDUSTRIES vs. DOW
Global X vs. DOW
Indian Energy vs. DOW
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against DOW as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. DOW's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, DOW's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to DOW.
Check out your portfolio center. 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

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