Correlation Between Sabre Insurance and Learning Technologies
Can any of the company-specific risk be diversified away by investing in both Sabre Insurance and Learning Technologies 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 Learning Technologies 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 Learning Technologies Group, you can compare the effects of market volatilities on Sabre Insurance and Learning Technologies 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 Learning Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabre Insurance and Learning Technologies.
Diversification Opportunities for Sabre Insurance and Learning Technologies
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sabre and Learning is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Sabre Insurance Group and Learning Technologies Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Learning Technologies 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 Learning Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Learning Technologies has no effect on the direction of Sabre Insurance i.e., Sabre Insurance and Learning Technologies go up and down completely randomly.
Pair Corralation between Sabre Insurance and Learning Technologies
Assuming the 90 days trading horizon Sabre Insurance Group is expected to under-perform the Learning Technologies. But the stock apears to be less risky and, when comparing its historical volatility, Sabre Insurance Group is 1.1 times less risky than Learning Technologies. The stock trades about -0.1 of its potential returns per unit of risk. The Learning Technologies Group is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 9,790 in Learning Technologies Group on December 23, 2024 and sell it today you would earn a total of 170.00 from holding Learning Technologies Group or generate 1.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sabre Insurance Group vs. Learning Technologies Group
Performance |
Timeline |
Sabre Insurance Group |
Learning Technologies |
Sabre Insurance and Learning Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sabre Insurance and Learning Technologies
The main advantage of trading using opposite Sabre Insurance and Learning Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabre Insurance position performs unexpectedly, Learning Technologies 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 Learning Technologies will offset losses from the drop in Learning Technologies' long position.Sabre Insurance vs. Nordea Bank Abp | Sabre Insurance vs. Cembra Money Bank | Sabre Insurance vs. Broadcom | Sabre Insurance vs. Sydbank |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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