Correlation Between Singapore Technologies and CPI Aerostructures
Can any of the company-specific risk be diversified away by investing in both Singapore Technologies and CPI Aerostructures 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 Singapore Technologies and CPI Aerostructures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Technologies Engineering and CPI Aerostructures, you can compare the effects of market volatilities on Singapore Technologies and CPI Aerostructures 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 Singapore Technologies with a short position of CPI Aerostructures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Technologies and CPI Aerostructures.
Diversification Opportunities for Singapore Technologies and CPI Aerostructures
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Singapore and CPI is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Technologies Enginee and CPI Aerostructures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CPI Aerostructures and Singapore Technologies 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 Singapore Technologies Engineering are associated (or correlated) with CPI Aerostructures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CPI Aerostructures has no effect on the direction of Singapore Technologies i.e., Singapore Technologies and CPI Aerostructures go up and down completely randomly.
Pair Corralation between Singapore Technologies and CPI Aerostructures
Assuming the 90 days horizon Singapore Technologies is expected to generate 6.79 times less return on investment than CPI Aerostructures. In addition to that, Singapore Technologies is 1.33 times more volatile than CPI Aerostructures. It trades about 0.04 of its total potential returns per unit of risk. CPI Aerostructures is currently generating about 0.35 per unit of volatility. If you would invest 363.00 in CPI Aerostructures on October 8, 2024 and sell it today you would earn a total of 68.00 from holding CPI Aerostructures or generate 18.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Technologies Enginee vs. CPI Aerostructures
Performance |
Timeline |
Singapore Technologies |
CPI Aerostructures |
Singapore Technologies and CPI Aerostructures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Technologies and CPI Aerostructures
The main advantage of trading using opposite Singapore Technologies and CPI Aerostructures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Technologies position performs unexpectedly, CPI Aerostructures 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 CPI Aerostructures will offset losses from the drop in CPI Aerostructures' long position.Singapore Technologies vs. Thales SA | Singapore Technologies vs. MTU Aero Engines | Singapore Technologies vs. Safran SA | Singapore Technologies vs. Airbus Group SE |
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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 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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