Correlation Between Sabre Insurance and Data3

Can any of the company-specific risk be diversified away by investing in both Sabre Insurance and Data3 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 Sabre Insurance and Data3 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Sabre Insurance Group and Data3 Limited, you can compare the effects of market volatilities on Sabre Insurance and Data3 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 Sabre Insurance with a short position of Data3. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabre Insurance and Data3.

Diversification Opportunities for Sabre Insurance and Data3

0.29

Correlation Coefficient

Sabre Insurance  Data3

Modest diversification

The 3 months correlation between Sabre and Data3 is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Sabre Insurance Group and Data3 Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data3 Limited and Sabre Insurance 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 Sabre Insurance Group are associated (or correlated) with Data3. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data3 Limited has no effect on the direction of Sabre Insurance i.e., Sabre Insurance and Data3 go up and down completely randomly.

Pair Corralation between Sabre Insurance and Data3

Assuming the 90 days horizon Sabre Insurance Group is expected to generate 1.34 times more return on investment than Data3. However, Sabre Insurance is 1.34 times more volatile than Data3 Limited. It trades about 0.12 of its potential returns per unit of risk. Data3 Limited is currently generating about 0.11 per unit of risk. If you would invest  146.00  in Sabre Insurance Group on April 21, 2025 and sell it today you would earn a total of  25.00  from holding Sabre Insurance Group or generate 17.12% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Sabre Insurance Group  vs.  Data3 Limited

Sabre Insurance Group

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sabre Insurance Group are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Sabre Insurance reported solid returns over the last few months and may actually be approaching a breakup point.

Data3 Limited

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Data3 Limited are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Data3 may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Pair Trading with Sabre Insurance and Data3

The main advantage of trading using opposite Sabre Insurance and Data3 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabre Insurance position performs unexpectedly, Data3 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 Data3 will offset losses from the drop in Data3's long position.

The idea behind Sabre Insurance Group and Data3 Limited 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .