Correlation Between Mastercard and Sabre Insurance
Can any of the company-specific risk be diversified away by investing in both Mastercard and Sabre Insurance 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 Mastercard and Sabre Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mastercard and Sabre Insurance Group, you can compare the effects of market volatilities on Mastercard and Sabre Insurance 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 Mastercard with a short position of Sabre Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mastercard and Sabre Insurance.
Diversification Opportunities for Mastercard and Sabre Insurance
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mastercard and Sabre is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Mastercard and Sabre Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sabre Insurance Group and Mastercard 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 Mastercard are associated (or correlated) with Sabre Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sabre Insurance Group has no effect on the direction of Mastercard i.e., Mastercard and Sabre Insurance go up and down completely randomly.
Pair Corralation between Mastercard and Sabre Insurance
Assuming the 90 days horizon Mastercard is expected to generate 0.71 times more return on investment than Sabre Insurance. However, Mastercard is 1.42 times less risky than Sabre Insurance. It trades about 0.14 of its potential returns per unit of risk. Sabre Insurance Group is currently generating about 0.09 per unit of risk. If you would invest 47,080 in Mastercard on September 27, 2024 and sell it today you would earn a total of 3,540 from holding Mastercard or generate 7.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mastercard vs. Sabre Insurance Group
Performance |
Timeline |
Mastercard |
Sabre Insurance Group |
Mastercard and Sabre Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mastercard and Sabre Insurance
The main advantage of trading using opposite Mastercard and Sabre Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mastercard position performs unexpectedly, Sabre Insurance 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 Sabre Insurance will offset losses from the drop in Sabre Insurance's long position.Mastercard vs. Visa Inc | Mastercard vs. Visa Inc | Mastercard vs. Mastercard | Mastercard vs. American Express |
Sabre Insurance vs. NURAN WIRELESS INC | Sabre Insurance vs. Sanyo Chemical Industries | Sabre Insurance vs. KINGBOARD CHEMICAL | Sabre Insurance vs. alstria office REIT AG |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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