Correlation Between DATAGROUP and Stewart Information

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

Diversification Opportunities for DATAGROUP and Stewart Information

-0.27
  Correlation Coefficient

Very good diversification

The 3 months correlation between DATAGROUP and Stewart is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and Stewart Information Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stewart Information 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 Stewart Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stewart Information has no effect on the direction of DATAGROUP i.e., DATAGROUP and Stewart Information go up and down completely randomly.

Pair Corralation between DATAGROUP and Stewart Information

Assuming the 90 days trading horizon DATAGROUP is expected to generate 1.36 times less return on investment than Stewart Information. In addition to that, DATAGROUP is 1.64 times more volatile than Stewart Information Services. It trades about 0.1 of its total potential returns per unit of risk. Stewart Information Services is currently generating about 0.23 per unit of volatility. If you would invest  6,350  in Stewart Information Services on August 29, 2024 and sell it today you would earn a total of  650.00  from holding Stewart Information Services or generate 10.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DATAGROUP SE  vs.  Stewart Information Services

 Performance 
       Timeline  
DATAGROUP SE 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 6 (%) 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.
Stewart Information 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Stewart Information Services are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Stewart Information may actually be approaching a critical reversion point that can send shares even higher in December 2024.

DATAGROUP and Stewart Information Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DATAGROUP and Stewart Information

The main advantage of trading using opposite DATAGROUP and Stewart Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP position performs unexpectedly, Stewart Information 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 Stewart Information will offset losses from the drop in Stewart Information's long position.
The idea behind DATAGROUP SE and Stewart Information Services 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.
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 the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

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