Correlation Between SERI INDUSTRIAL and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both SERI INDUSTRIAL and SBI Insurance 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 SERI INDUSTRIAL and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SERI INDUSTRIAL EO and SBI Insurance Group, you can compare the effects of market volatilities on SERI INDUSTRIAL and SBI Insurance 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 SERI INDUSTRIAL with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SERI INDUSTRIAL and SBI Insurance.
Diversification Opportunities for SERI INDUSTRIAL and SBI Insurance
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between SERI and SBI is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding SERI INDUSTRIAL EO and SBI Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Insurance Group and SERI INDUSTRIAL 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 SERI INDUSTRIAL EO are associated (or correlated) with SBI Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Insurance Group has no effect on the direction of SERI INDUSTRIAL i.e., SERI INDUSTRIAL and SBI Insurance go up and down completely randomly.
Pair Corralation between SERI INDUSTRIAL and SBI Insurance
Assuming the 90 days trading horizon SERI INDUSTRIAL EO is expected to under-perform the SBI Insurance. In addition to that, SERI INDUSTRIAL is 1.27 times more volatile than SBI Insurance Group. It trades about -0.21 of its total potential returns per unit of risk. SBI Insurance Group is currently generating about 0.14 per unit of volatility. If you would invest 620.00 in SBI Insurance Group on October 5, 2024 and sell it today you would earn a total of 30.00 from holding SBI Insurance Group or generate 4.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SERI INDUSTRIAL EO vs. SBI Insurance Group
Performance |
Timeline |
SERI INDUSTRIAL EO |
SBI Insurance Group |
SERI INDUSTRIAL and SBI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SERI INDUSTRIAL and SBI Insurance
The main advantage of trading using opposite SERI INDUSTRIAL and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SERI INDUSTRIAL position performs unexpectedly, SBI Insurance 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 SBI Insurance will offset losses from the drop in SBI Insurance's long position.SERI INDUSTRIAL vs. Columbia Sportswear | SERI INDUSTRIAL vs. Singapore Telecommunications Limited | SERI INDUSTRIAL vs. Hutchison Telecommunications Hong | SERI INDUSTRIAL vs. COLUMBIA SPORTSWEAR |
SBI Insurance vs. Eagle Materials | SBI Insurance vs. THRACE PLASTICS | SBI Insurance vs. Grupo Carso SAB | SBI Insurance vs. GOODYEAR T RUBBER |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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