Correlation Between DOW and Invesco Oppenheimer

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

Diversification Opportunities for DOW and Invesco Oppenheimer

0.6
  Correlation Coefficient

Poor diversification

The 3 months correlation between DOW and Invesco is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding DOW and Invesco Oppenheimer Developing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco Oppenheimer 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 Invesco Oppenheimer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco Oppenheimer has no effect on the direction of DOW i.e., DOW and Invesco Oppenheimer go up and down completely randomly.
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Pair Corralation between DOW and Invesco Oppenheimer

Given the investment horizon of 90 days DOW is expected to generate 1.13 times more return on investment than Invesco Oppenheimer. However, DOW is 1.13 times more volatile than Invesco Oppenheimer Developing. It trades about 0.26 of its potential returns per unit of risk. Invesco Oppenheimer Developing is currently generating about 0.25 per unit of risk. If you would invest  3,117,384  in DOW on May 10, 2022 and sell it today you would earn a total of  165,870  from holding DOW or generate 5.32% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

DOW  vs.  Invesco Oppenheimer Developing

 Performance (%) 
       Timeline  

DOW and Invesco Oppenheimer Volatility Contrast

   Predicted Return Density   
       Returns  

DOW

Pair trading matchups for DOW

Tencent Holdings vs. DOW
Ultralife Corp vs. DOW
Exxon vs. DOW
Tesla vs. DOW
Alphabet vs. DOW
Enbridge vs. DOW
Otp Bank vs. DOW
Amazon vs. DOW
Coca Cola vs. DOW
Canadian National vs. DOW
Ubiquiti Networks 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.

Invesco Oppenheimer Developing

Pair trading matchups for Invesco Oppenheimer

Pair Trading with DOW and Invesco Oppenheimer

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

DOW

Pair trading matchups for DOW

Tesla vs. DOW
Alphabet vs. DOW
Ubiquiti Networks vs. DOW
Ultralife Corp vs. DOW
Hyliion Hldg vs. DOW
Otp Bank vs. DOW
Amazon vs. DOW
Salesforce vs. DOW
Fidelity Select vs. DOW
Microsoft Corp 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 Invesco Oppenheimer Developing 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.

Invesco Oppenheimer Developing

Pair trading matchups for Invesco Oppenheimer

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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