Correlation Between Singapore Reinsurance and ABO GROUP
Can any of the company-specific risk be diversified away by investing in both Singapore Reinsurance and ABO GROUP 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 Reinsurance and ABO GROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Reinsurance and ABO GROUP ENVIRONMENT, you can compare the effects of market volatilities on Singapore Reinsurance and ABO GROUP 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 Reinsurance with a short position of ABO GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Reinsurance and ABO GROUP.
Diversification Opportunities for Singapore Reinsurance and ABO GROUP
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Singapore and ABO is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Reinsurance and ABO GROUP ENVIRONMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ABO GROUP ENVIRONMENT and Singapore Reinsurance 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 Reinsurance are associated (or correlated) with ABO GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ABO GROUP ENVIRONMENT has no effect on the direction of Singapore Reinsurance i.e., Singapore Reinsurance and ABO GROUP go up and down completely randomly.
Pair Corralation between Singapore Reinsurance and ABO GROUP
Assuming the 90 days trading horizon Singapore Reinsurance is expected to generate 2.6 times more return on investment than ABO GROUP. However, Singapore Reinsurance is 2.6 times more volatile than ABO GROUP ENVIRONMENT. It trades about -0.07 of its potential returns per unit of risk. ABO GROUP ENVIRONMENT is currently generating about -0.23 per unit of risk. If you would invest 3,420 in Singapore Reinsurance on December 25, 2024 and sell it today you would lose (480.00) from holding Singapore Reinsurance or give up 14.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Reinsurance vs. ABO GROUP ENVIRONMENT
Performance |
Timeline |
Singapore Reinsurance |
ABO GROUP ENVIRONMENT |
Singapore Reinsurance and ABO GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Reinsurance and ABO GROUP
The main advantage of trading using opposite Singapore Reinsurance and ABO GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Reinsurance position performs unexpectedly, ABO GROUP 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 ABO GROUP will offset losses from the drop in ABO GROUP's long position.Singapore Reinsurance vs. LI METAL P | Singapore Reinsurance vs. COMBA TELECOM SYST | Singapore Reinsurance vs. Spirent Communications plc | Singapore Reinsurance vs. PARKEN Sport Entertainment |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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