Correlation Between Sabre Insurance and COMPUTERSHARE
Can any of the company-specific risk be diversified away by investing in both Sabre Insurance and COMPUTERSHARE 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 COMPUTERSHARE 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 COMPUTERSHARE, you can compare the effects of market volatilities on Sabre Insurance and COMPUTERSHARE 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 COMPUTERSHARE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabre Insurance and COMPUTERSHARE.
Diversification Opportunities for Sabre Insurance and COMPUTERSHARE
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sabre and COMPUTERSHARE is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Sabre Insurance Group and COMPUTERSHARE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPUTERSHARE 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 COMPUTERSHARE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPUTERSHARE has no effect on the direction of Sabre Insurance i.e., Sabre Insurance and COMPUTERSHARE go up and down completely randomly.
Pair Corralation between Sabre Insurance and COMPUTERSHARE
Assuming the 90 days horizon Sabre Insurance is expected to generate 11.03 times less return on investment than COMPUTERSHARE. But when comparing it to its historical volatility, Sabre Insurance Group is 1.03 times less risky than COMPUTERSHARE. It trades about 0.03 of its potential returns per unit of risk. COMPUTERSHARE is currently generating about 0.37 of returns per unit of risk over similar time horizon. If you would invest 1,600 in COMPUTERSHARE on October 6, 2024 and sell it today you would earn a total of 480.00 from holding COMPUTERSHARE or generate 30.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sabre Insurance Group vs. COMPUTERSHARE
Performance |
Timeline |
Sabre Insurance Group |
COMPUTERSHARE |
Sabre Insurance and COMPUTERSHARE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sabre Insurance and COMPUTERSHARE
The main advantage of trading using opposite Sabre Insurance and COMPUTERSHARE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabre Insurance position performs unexpectedly, COMPUTERSHARE 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 COMPUTERSHARE will offset losses from the drop in COMPUTERSHARE's long position.Sabre Insurance vs. Steadfast Group Limited | Sabre Insurance vs. Superior Plus Corp | Sabre Insurance vs. NMI Holdings | Sabre Insurance vs. Origin Agritech |
COMPUTERSHARE vs. Cleanaway Waste Management | COMPUTERSHARE vs. VIVA WINE GROUP | COMPUTERSHARE vs. Unity Software | COMPUTERSHARE vs. Marie Brizard Wine |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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