Correlation Between CF Bankshares and Dow Jones

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

Diversification Opportunities for CF Bankshares and Dow Jones

0.37
  Correlation Coefficient

Weak diversification

The 3 months correlation between CFBK and Dow is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding CF Bankshares and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and CF Bankshares 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 CF Bankshares are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of CF Bankshares i.e., CF Bankshares and Dow Jones go up and down completely randomly.
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Pair Corralation between CF Bankshares and Dow Jones

Given the investment horizon of 90 days CF Bankshares is not expected to generate positive returns. However, CF Bankshares is 1.49 times less risky than Dow Jones. It waists most of its returns potential to compensate for thr risk taken. Dow Jones is generating about 0.14 per unit of risk. If you would invest  4,082,900  in Dow Jones Industrial on May 6, 2025 and sell it today you would earn a total of  275,958  from holding Dow Jones Industrial or generate 6.76% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy98.41%
ValuesDaily Returns

CF Bankshares  vs.  Dow Jones Industrial

 Performance 
       Timeline  

CF Bankshares and Dow Jones Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CF Bankshares and Dow Jones

The main advantage of trading using opposite CF Bankshares and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CF Bankshares position performs unexpectedly, Dow Jones 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 Jones will offset losses from the drop in Dow Jones' long position.
The idea behind CF Bankshares and Dow Jones Industrial 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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