Correlation Between LOANDEPOT INC and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both LOANDEPOT INC 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 LOANDEPOT INC and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LOANDEPOT INC A and SBI Insurance Group, you can compare the effects of market volatilities on LOANDEPOT INC 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 LOANDEPOT INC with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of LOANDEPOT INC and SBI Insurance.
Diversification Opportunities for LOANDEPOT INC and SBI Insurance
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between LOANDEPOT and SBI is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding LOANDEPOT INC A 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 LOANDEPOT INC 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 LOANDEPOT INC A 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 LOANDEPOT INC i.e., LOANDEPOT INC and SBI Insurance go up and down completely randomly.
Pair Corralation between LOANDEPOT INC and SBI Insurance
Assuming the 90 days horizon LOANDEPOT INC is expected to generate 6.64 times less return on investment than SBI Insurance. In addition to that, LOANDEPOT INC is 2.91 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 0.17 per unit of volatility. If you would invest 550.00 in SBI Insurance Group on October 11, 2024 and sell it today you would earn a total of 95.00 from holding SBI Insurance Group or generate 17.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LOANDEPOT INC A vs. SBI Insurance Group
Performance |
Timeline |
LOANDEPOT INC A |
SBI Insurance Group |
LOANDEPOT INC and SBI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LOANDEPOT INC and SBI Insurance
The main advantage of trading using opposite LOANDEPOT INC and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LOANDEPOT INC 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.LOANDEPOT INC vs. JD SPORTS FASH | LOANDEPOT INC vs. VELA TECHNOLPLC LS 0001 | LOANDEPOT INC vs. SIERRA METALS | LOANDEPOT INC vs. Addtech AB |
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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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