Correlation Between Wharf Holdings and Holiday Island
Can any of the company-specific risk be diversified away by investing in both Wharf Holdings and Holiday Island 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 Wharf Holdings and Holiday Island into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wharf Holdings and Holiday Island Holdings, you can compare the effects of market volatilities on Wharf Holdings and Holiday Island 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 Wharf Holdings with a short position of Holiday Island. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wharf Holdings and Holiday Island.
Diversification Opportunities for Wharf Holdings and Holiday Island
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Wharf and Holiday is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Wharf Holdings and Holiday Island Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Holiday Island Holdings and Wharf Holdings 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 Wharf Holdings are associated (or correlated) with Holiday Island. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Holiday Island Holdings has no effect on the direction of Wharf Holdings i.e., Wharf Holdings and Holiday Island go up and down completely randomly.
Pair Corralation between Wharf Holdings and Holiday Island
Assuming the 90 days horizon Wharf Holdings is expected to under-perform the Holiday Island. But the pink sheet apears to be less risky and, when comparing its historical volatility, Wharf Holdings is 4.9 times less risky than Holiday Island. The pink sheet trades about -0.02 of its potential returns per unit of risk. The Holiday Island Holdings is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2.95 in Holiday Island Holdings on September 4, 2024 and sell it today you would lose (1.44) from holding Holiday Island Holdings or give up 48.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.4% |
Values | Daily Returns |
Wharf Holdings vs. Holiday Island Holdings
Performance |
Timeline |
Wharf Holdings |
Holiday Island Holdings |
Wharf Holdings and Holiday Island Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wharf Holdings and Holiday Island
The main advantage of trading using opposite Wharf Holdings and Holiday Island positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wharf Holdings position performs unexpectedly, Holiday Island 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 Holiday Island will offset losses from the drop in Holiday Island's long position.Wharf Holdings vs. Hong Kong Land | Wharf Holdings vs. Holiday Island Holdings | Wharf Holdings vs. Sun Hung Kai |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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