Correlation Between DOW and DOW

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both DOW 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 DOW and DOW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DOW and DOW, you can compare the effects of market volatilities on DOW 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 DOW with a short position of DOW. Check out your portfolio center. Please also check ongoing floating volatility patterns of DOW and DOW.

Diversification Opportunities for DOW and DOW

1.0
  Correlation Coefficient

No risk reduction

The 3 months correlation between DOW and DOW is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding DOW and DOW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DOW and DOW 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 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 DOW i.e., DOW and DOW go up and down completely randomly.
    Optimize

Pair Corralation between DOW and DOW

Given the investment horizon of 90 days If you would invest  3,391,639  in DOW on February 27, 2022 and sell it today you would lose (70,343)  from holding DOW or give up 2.07% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

DOW  vs.  DOW

 Performance (%) 
      Timeline 

DOW and DOW Volatility Contrast

 Predicted Return Density 
      Returns 

DOW

Pair trading matchups for DOW

HITHINK ROYALFLUSH vs. DOW
Otp Bank vs. DOW
Microsoft Corp vs. DOW
Visa vs. DOW
COSCO SHIPPING vs. DOW
Citigroup vs. DOW
Meta Platforms vs. DOW
LINGYI ITECH vs. DOW
GM vs. DOW
Vmware vs. DOW
Walker Dunlop vs. DOW
FUJIAN AONONG 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.

DOW

Pair trading matchups for DOW

Ford vs. DOW
GM vs. DOW
Vmware vs. DOW
Walker Dunlop vs. DOW
HITHINK ROYALFLUSH vs. DOW
Meta Platforms vs. DOW
Salesforce vs. DOW
BANK OF NINGBO vs. DOW
LINGYI ITECH vs. DOW
FUJIAN AONONG 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 DOW and DOW

The main advantage of trading using opposite DOW and DOW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DOW 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.

DOW

Pair trading matchups for DOW

Atlassian Cls vs. DOW
Salesforce vs. DOW
Walker Dunlop vs. DOW
Otp Bank vs. DOW
Visa vs. DOW
HITHINK ROYALFLUSH vs. DOW
Vmware vs. DOW
Meta Platforms vs. DOW
FUJIAN AONONG vs. DOW
BANK OF NINGBO vs. DOW
LINGYI ITECH 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.
The idea behind DOW 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

HITHINK ROYALFLUSH vs. DOW
Microsoft Corp vs. DOW
Visa vs. DOW
Citigroup vs. DOW
Meta Platforms vs. DOW
Atlassian Cls vs. DOW
Salesforce vs. DOW
COSCO SHIPPING vs. DOW
Walker Dunlop vs. DOW
Ford vs. DOW
Otp Bank 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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

Other Complementary Tools

Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Go
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Go
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Go
Analyst Recommendations
Analyst recommendations and target price estimates broken down by several categories
Go
Fund Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Go