Correlation Between DATAGROUP and Berkshire Hathaway

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

Diversification Opportunities for DATAGROUP and Berkshire Hathaway

0.4
  Correlation Coefficient

Very weak diversification

The 3 months correlation between DATAGROUP and Berkshire is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway and DATAGROUP 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 DATAGROUP SE are associated (or correlated) with Berkshire Hathaway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkshire Hathaway has no effect on the direction of DATAGROUP i.e., DATAGROUP and Berkshire Hathaway go up and down completely randomly.

Pair Corralation between DATAGROUP and Berkshire Hathaway

Assuming the 90 days trading horizon DATAGROUP SE is expected to under-perform the Berkshire Hathaway. In addition to that, DATAGROUP is 2.08 times more volatile than Berkshire Hathaway. It trades about -0.01 of its total potential returns per unit of risk. Berkshire Hathaway is currently generating about 0.12 per unit of volatility. If you would invest  33,160  in Berkshire Hathaway on September 4, 2024 and sell it today you would earn a total of  11,825  from holding Berkshire Hathaway or generate 35.66% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

DATAGROUP SE  vs.  Berkshire Hathaway

 Performance 
       Timeline  
DATAGROUP SE 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, DATAGROUP unveiled solid returns over the last few months and may actually be approaching a breakup point.
Berkshire Hathaway 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Berkshire Hathaway are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, Berkshire Hathaway is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

DATAGROUP and Berkshire Hathaway Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DATAGROUP and Berkshire Hathaway

The main advantage of trading using opposite DATAGROUP and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP position performs unexpectedly, Berkshire Hathaway 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 Berkshire Hathaway will offset losses from the drop in Berkshire Hathaway's long position.
The idea behind DATAGROUP SE and Berkshire Hathaway 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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