Correlation Between Safran SA and Singapore Technologies
Can any of the company-specific risk be diversified away by investing in both Safran SA and Singapore 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 Safran SA and Singapore Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Safran SA and Singapore Technologies Engineering, you can compare the effects of market volatilities on Safran SA and Singapore 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 Safran SA with a short position of Singapore Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Safran SA and Singapore Technologies.
Diversification Opportunities for Safran SA and Singapore Technologies
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Safran and Singapore is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Safran SA and Singapore Technologies Enginee in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Technologies and Safran SA 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 Safran SA are associated (or correlated) with Singapore Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Technologies has no effect on the direction of Safran SA i.e., Safran SA and Singapore Technologies go up and down completely randomly.
Pair Corralation between Safran SA and Singapore Technologies
Assuming the 90 days horizon Safran SA is expected to generate 2.09 times less return on investment than Singapore Technologies. But when comparing it to its historical volatility, Safran SA is 1.24 times less risky than Singapore Technologies. It trades about 0.05 of its potential returns per unit of risk. Singapore Technologies Engineering is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 295.00 in Singapore Technologies Engineering on August 31, 2024 and sell it today you would earn a total of 36.00 from holding Singapore Technologies Engineering or generate 12.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Safran SA vs. Singapore Technologies Enginee
Performance |
Timeline |
Safran SA |
Singapore Technologies |
Safran SA and Singapore Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Safran SA and Singapore Technologies
The main advantage of trading using opposite Safran SA and Singapore Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Safran SA position performs unexpectedly, Singapore 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 Singapore Technologies will offset losses from the drop in Singapore Technologies' long position.Safran SA vs. Thales SA ADR | Safran SA vs. MTU Aero Engines | Safran SA vs. Leonardo SpA ADR | Safran SA vs. Thales SA |
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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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