Correlation Between Datagroup and Freddie Mac

Can any of the company-specific risk be diversified away by investing in both Datagroup and Freddie Mac 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 Freddie Mac into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Datagroup SE and Freddie Mac, you can compare the effects of market volatilities on Datagroup and Freddie Mac 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 Freddie Mac. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and Freddie Mac.

Diversification Opportunities for Datagroup and Freddie Mac

0.37

Correlation Coefficient

Datagroup  Freddie Mac

Weak diversification

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

Pair Corralation between Datagroup and Freddie Mac

Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the Freddie Mac. But the stock apears to be less risky and, when comparing its historical volatility, Datagroup SE is 2.57 times less risky than Freddie Mac. The stock trades about -0.02 of its potential returns per unit of risk. The Freddie Mac is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  36.00  in Freddie Mac on September 14, 2024 and sell it today you would earn a total of  237.00  from holding Freddie Mac or generate 658.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	92.7%
Values	Daily Returns

Datagroup SE  vs.  Freddie Mac

Datagroup SE

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup unveiled solid returns over the last few months and may actually be approaching a breakup point.

Freddie Mac

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Freddie Mac are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Freddie Mac unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Datagroup and Freddie Mac

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

The idea behind Datagroup SE and Freddie Mac 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.