Correlation Between Host Hotels and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both Host Hotels 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 Host Hotels and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Host Hotels Resorts and SBI Insurance Group, you can compare the effects of market volatilities on Host Hotels 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 Host Hotels with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Host Hotels and SBI Insurance.
Diversification Opportunities for Host Hotels and SBI Insurance
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Host and SBI is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Host Hotels Resorts 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 Host Hotels 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 Host Hotels Resorts 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 Host Hotels i.e., Host Hotels and SBI Insurance go up and down completely randomly.
Pair Corralation between Host Hotels and SBI Insurance
Assuming the 90 days horizon Host Hotels Resorts is expected to under-perform the SBI Insurance. In addition to that, Host Hotels is 1.01 times more volatile than SBI Insurance Group. It trades about -0.2 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 610.00 in SBI Insurance Group on December 20, 2024 and sell it today you would earn a total of 80.00 from holding SBI Insurance Group or generate 13.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Host Hotels Resorts vs. SBI Insurance Group
Performance |
Timeline |
Host Hotels Resorts |
SBI Insurance Group |
Host Hotels and SBI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Host Hotels and SBI Insurance
The main advantage of trading using opposite Host Hotels and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Host Hotels 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.Host Hotels vs. TELECOM ITALIA | Host Hotels vs. INTERSHOP Communications Aktiengesellschaft | Host Hotels vs. Kingdee International Software | Host Hotels vs. Comba Telecom Systems |
SBI Insurance vs. Penn National Gaming | SBI Insurance vs. CN MODERN DAIRY | SBI Insurance vs. PATTIES FOODS | SBI Insurance vs. GigaMedia |
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 CEOs Directory module to screen CEOs from public companies around the world.
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