Correlation Between UNITED RENTALS and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both UNITED RENTALS 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 UNITED RENTALS and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UNITED RENTALS and SBI Insurance Group, you can compare the effects of market volatilities on UNITED RENTALS 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 UNITED RENTALS with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of UNITED RENTALS and SBI Insurance.
Diversification Opportunities for UNITED RENTALS and SBI Insurance
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between UNITED and SBI is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding UNITED RENTALS 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 UNITED RENTALS 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 UNITED RENTALS 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 UNITED RENTALS i.e., UNITED RENTALS and SBI Insurance go up and down completely randomly.
Pair Corralation between UNITED RENTALS and SBI Insurance
Assuming the 90 days trading horizon UNITED RENTALS is expected to generate 1.24 times more return on investment than SBI Insurance. However, UNITED RENTALS is 1.24 times more volatile than SBI Insurance Group. It trades about 0.07 of its potential returns per unit of risk. SBI Insurance Group is currently generating about 0.0 per unit of risk. If you would invest 33,416 in UNITED RENTALS on October 11, 2024 and sell it today you would earn a total of 32,524 from holding UNITED RENTALS or generate 97.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
UNITED RENTALS vs. SBI Insurance Group
Performance |
Timeline |
UNITED RENTALS |
SBI Insurance Group |
UNITED RENTALS and SBI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UNITED RENTALS and SBI Insurance
The main advantage of trading using opposite UNITED RENTALS and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UNITED RENTALS 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.UNITED RENTALS vs. Park Hotels Resorts | UNITED RENTALS vs. Calibre Mining Corp | UNITED RENTALS vs. Pebblebrook Hotel Trust | UNITED RENTALS vs. Western Copper and |
SBI Insurance vs. LOANDEPOT INC A | SBI Insurance vs. ALBIS LEASING AG | SBI Insurance vs. UNITED RENTALS | SBI Insurance vs. Sixt Leasing SE |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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