Correlation Between Amphenol and Sabre Insurance
Can any of the company-specific risk be diversified away by investing in both Amphenol 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 Amphenol and Sabre Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amphenol and Sabre Insurance Group, you can compare the effects of market volatilities on Amphenol 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 Amphenol with a short position of Sabre Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amphenol and Sabre Insurance.
Diversification Opportunities for Amphenol and Sabre Insurance
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Amphenol and Sabre is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Amphenol 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 Amphenol 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 Amphenol 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 Amphenol i.e., Amphenol and Sabre Insurance go up and down completely randomly.
Pair Corralation between Amphenol and Sabre Insurance
Assuming the 90 days horizon Amphenol is expected to generate 0.82 times more return on investment than Sabre Insurance. However, Amphenol is 1.22 times less risky than Sabre Insurance. It trades about 0.1 of its potential returns per unit of risk. Sabre Insurance Group is currently generating about 0.01 per unit of risk. If you would invest 4,443 in Amphenol on September 27, 2024 and sell it today you would earn a total of 2,338 from holding Amphenol or generate 52.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amphenol vs. Sabre Insurance Group
Performance |
Timeline |
Amphenol |
Sabre Insurance Group |
Amphenol and Sabre Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amphenol and Sabre Insurance
The main advantage of trading using opposite Amphenol and Sabre Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amphenol 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.Amphenol vs. Hon Hai Precision | Amphenol vs. Samsung SDI Co | Amphenol vs. Murata Manufacturing Co | Amphenol vs. Corning Incorporated |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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