Correlation Between DOW and Alger Weatherbie

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

Diversification Opportunities for DOW and Alger Weatherbie

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between DOW and Alger is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding DOW and Alger Weatherbie Enduring in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Weatherbie Enduring 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 Alger Weatherbie. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Weatherbie Enduring has no effect on the direction of DOW i.e., DOW and Alger Weatherbie go up and down completely randomly.
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Pair Corralation between DOW and Alger Weatherbie

Given the investment horizon of 90 days DOW is expected to generate 0.51 times more return on investment than Alger Weatherbie. However, DOW is 1.96 times less risky than Alger Weatherbie. It trades about -0.01 of its potential returns per unit of risk. Alger Weatherbie Enduring is currently generating about -0.05 per unit of risk. If you would invest  3,533,571  in DOW on May 18, 2022 and sell it today you would lose (118,370)  from holding DOW or give up 3.35% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy66.94%
ValuesDaily Returns

DOW  vs.  Alger Weatherbie Enduring

 Performance (%) 
       Timeline  

DOW and Alger Weatherbie Volatility Contrast

   Predicted Return Density   
       Returns  

DOW

Pair trading matchups for DOW

Goldman Sachs vs. DOW
Citigroup vs. DOW
Sentinelone Inc vs. DOW
Johnson Johnson vs. DOW
Invesco Solar vs. DOW
Bristol-Myers Squibb vs. DOW
Salesforce vs. DOW
ConocoPhillips vs. DOW
B of A vs. DOW
T Rowe vs. DOW
Alphabet 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.

Alger Weatherbie Enduring

Pair trading matchups for Alger Weatherbie

Pair Trading with DOW and Alger Weatherbie

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

DOW

Pair trading matchups for DOW

Sentinelone Inc vs. DOW
Johnson Johnson vs. DOW
Otp Bank vs. DOW
Main Street vs. DOW
Zimmer Biomet vs. DOW
Devon Energy vs. DOW
Goldman Sachs vs. DOW
Bristol-Myers Squibb vs. DOW
Nio Inc vs. DOW
ConocoPhillips vs. DOW
Salesforce 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 Alger Weatherbie Enduring 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.

Alger Weatherbie Enduring

Pair trading matchups for Alger Weatherbie

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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

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