Correlation Between SBI Insurance and SES SA
Can any of the company-specific risk be diversified away by investing in both SBI Insurance and SES 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 SBI Insurance and SES SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Insurance Group and SES SA, you can compare the effects of market volatilities on SBI Insurance and SES 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 SBI Insurance with a short position of SES SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and SES SA.
Diversification Opportunities for SBI Insurance and SES SA
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SBI and SES is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and SES SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SES SA and SBI Insurance 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 SBI Insurance Group are associated (or correlated) with SES SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SES SA has no effect on the direction of SBI Insurance i.e., SBI Insurance and SES SA go up and down completely randomly.
Pair Corralation between SBI Insurance and SES SA
Assuming the 90 days trading horizon SBI Insurance Group is expected to generate 1.01 times more return on investment than SES SA. However, SBI Insurance is 1.01 times more volatile than SES SA. It trades about 0.05 of its potential returns per unit of risk. SES SA is currently generating about -0.24 per unit of risk. If you would invest 600.00 in SBI Insurance Group on September 23, 2024 and sell it today you would earn a total of 10.00 from holding SBI Insurance Group or generate 1.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Insurance Group vs. SES SA
Performance |
Timeline |
SBI Insurance Group |
SES SA |
SBI Insurance and SES SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Insurance and SES SA
The main advantage of trading using opposite SBI Insurance and SES SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance position performs unexpectedly, SES 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 SES SA will offset losses from the drop in SES SA's long position.SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc |
SES SA vs. SBI Insurance Group | SES SA vs. Zurich Insurance Group | SES SA vs. Western Copper and | SES SA vs. Zijin Mining 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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