Correlation Between Kroger and DATAWALK B

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

Diversification Opportunities for Kroger and DATAWALK B

-0.28
  Correlation Coefficient

Very good diversification

The 3 months correlation between Kroger and DATAWALK is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding The Kroger Co and DATAWALK B H ZY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAWALK B H and Kroger 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 The Kroger Co are associated (or correlated) with DATAWALK B. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATAWALK B H has no effect on the direction of Kroger i.e., Kroger and DATAWALK B go up and down completely randomly.

Pair Corralation between Kroger and DATAWALK B

Assuming the 90 days horizon The Kroger Co is expected to generate 0.29 times more return on investment than DATAWALK B. However, The Kroger Co is 3.46 times less risky than DATAWALK B. It trades about -0.16 of its potential returns per unit of risk. DATAWALK B H ZY is currently generating about -0.08 per unit of risk. If you would invest  6,420  in The Kroger Co on April 23, 2025 and sell it today you would lose (287.00) from holding The Kroger Co or give up 4.47% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy95.45%
ValuesDaily Returns

The Kroger Co  vs.  DATAWALK B H ZY

 Performance 
       Timeline  
The Kroger 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days The Kroger Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Kroger is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
DATAWALK B H 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in DATAWALK B H ZY are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, DATAWALK B reported solid returns over the last few months and may actually be approaching a breakup point.

Kroger and DATAWALK B Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kroger and DATAWALK B

The main advantage of trading using opposite Kroger and DATAWALK B positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kroger position performs unexpectedly, DATAWALK B 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 DATAWALK B will offset losses from the drop in DATAWALK B's long position.
The idea behind The Kroger Co and DATAWALK B H ZY 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

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