Correlation Between SIMS METAL and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both SIMS METAL 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 SIMS METAL and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SIMS METAL MGT and SBI Insurance Group, you can compare the effects of market volatilities on SIMS METAL 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 SIMS METAL with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SIMS METAL and SBI Insurance.
Diversification Opportunities for SIMS METAL and SBI Insurance
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SIMS and SBI is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding SIMS METAL MGT 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 SIMS METAL 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 SIMS METAL MGT 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 SIMS METAL i.e., SIMS METAL and SBI Insurance go up and down completely randomly.
Pair Corralation between SIMS METAL and SBI Insurance
Assuming the 90 days trading horizon SIMS METAL MGT is expected to under-perform the SBI Insurance. In addition to that, SIMS METAL is 1.89 times more volatile than SBI Insurance Group. It trades about -0.01 of its total potential returns per unit of risk. SBI Insurance Group is currently generating about 0.3 per unit of volatility. If you would invest 545.00 in SBI Insurance Group on August 27, 2024 and sell it today you would earn a total of 50.00 from holding SBI Insurance Group or generate 9.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SIMS METAL MGT vs. SBI Insurance Group
Performance |
| Timeline |
| SIMS METAL MGT |
| SBI Insurance Group |
SIMS METAL and SBI Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SIMS METAL and SBI Insurance
The main advantage of trading using opposite SIMS METAL and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SIMS METAL 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.The idea behind SIMS METAL MGT and SBI Insurance Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc | SBI Insurance vs. Apple Inc |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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