Correlation Between Singapore Reinsurance and Engie SA
Can any of the company-specific risk be diversified away by investing in both Singapore Reinsurance and Engie SA 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 Engie SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Reinsurance and Engie SA, you can compare the effects of market volatilities on Singapore Reinsurance and Engie SA 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 Engie SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Reinsurance and Engie SA.
Diversification Opportunities for Singapore Reinsurance and Engie SA
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Singapore and Engie is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Reinsurance and Engie SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Engie SA 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 Engie SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Engie SA has no effect on the direction of Singapore Reinsurance i.e., Singapore Reinsurance and Engie SA go up and down completely randomly.
Pair Corralation between Singapore Reinsurance and Engie SA
Assuming the 90 days trading horizon Singapore Reinsurance is expected to generate 2.26 times more return on investment than Engie SA. However, Singapore Reinsurance is 2.26 times more volatile than Engie SA. It trades about 0.15 of its potential returns per unit of risk. Engie SA is currently generating about -0.04 per unit of risk. If you would invest 2,960 in Singapore Reinsurance on October 15, 2024 and sell it today you would earn a total of 620.00 from holding Singapore Reinsurance or generate 20.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Reinsurance vs. Engie SA
Performance |
Timeline |
Singapore Reinsurance |
Engie SA |
Singapore Reinsurance and Engie SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Reinsurance and Engie SA
The main advantage of trading using opposite Singapore Reinsurance and Engie SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Reinsurance position performs unexpectedly, Engie SA 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 Engie SA will offset losses from the drop in Engie SA's long position.Singapore Reinsurance vs. Siamgas And Petrochemicals | Singapore Reinsurance vs. AIR PRODCHEMICALS | Singapore Reinsurance vs. CHEMICAL INDUSTRIES | Singapore Reinsurance vs. TRI CHEMICAL LABORATINC |
Engie SA vs. China Reinsurance | Engie SA vs. Lendlease Group | Engie SA vs. Zurich Insurance Group | Engie SA vs. SBI Insurance Group |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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