Correlation Between Supermarket Income and Hong Kong
Can any of the company-specific risk be diversified away by investing in both Supermarket Income and Hong Kong 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 Supermarket Income and Hong Kong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Supermarket Income REIT and Hong Kong Land, you can compare the effects of market volatilities on Supermarket Income and Hong Kong 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 Supermarket Income with a short position of Hong Kong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Supermarket Income and Hong Kong.
Diversification Opportunities for Supermarket Income and Hong Kong
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Supermarket and Hong is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Supermarket Income REIT and Hong Kong Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hong Kong Land and Supermarket Income 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 Supermarket Income REIT are associated (or correlated) with Hong Kong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hong Kong Land has no effect on the direction of Supermarket Income i.e., Supermarket Income and Hong Kong go up and down completely randomly.
Pair Corralation between Supermarket Income and Hong Kong
Assuming the 90 days trading horizon Supermarket Income REIT is expected to under-perform the Hong Kong. In addition to that, Supermarket Income is 8.06 times more volatile than Hong Kong Land. It trades about -0.04 of its total potential returns per unit of risk. Hong Kong Land is currently generating about 0.08 per unit of volatility. If you would invest 719.00 in Hong Kong Land on September 15, 2024 and sell it today you would earn a total of 22.00 from holding Hong Kong Land or generate 3.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Supermarket Income REIT vs. Hong Kong Land
Performance |
Timeline |
Supermarket Income REIT |
Hong Kong Land |
Supermarket Income and Hong Kong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Supermarket Income and Hong Kong
The main advantage of trading using opposite Supermarket Income and Hong Kong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Supermarket Income position performs unexpectedly, Hong Kong 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 Hong Kong will offset losses from the drop in Hong Kong's long position.Supermarket Income vs. Derwent London PLC | Supermarket Income vs. Hammerson PLC | Supermarket Income vs. Workspace Group PLC | Supermarket Income vs. DS Smith PLC |
Hong Kong vs. Derwent London PLC | Hong Kong vs. Hammerson PLC | Hong Kong vs. Workspace Group PLC | Hong Kong vs. Supermarket Income REIT |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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