Correlation Between InterContinental and Gear4music Plc
Can any of the company-specific risk be diversified away by investing in both InterContinental and Gear4music Plc 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 InterContinental and Gear4music Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InterContinental Hotels Group and Gear4music Plc, you can compare the effects of market volatilities on InterContinental and Gear4music Plc 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 InterContinental with a short position of Gear4music Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of InterContinental and Gear4music Plc.
Diversification Opportunities for InterContinental and Gear4music Plc
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between InterContinental and Gear4music is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding InterContinental Hotels Group and Gear4music Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gear4music Plc and InterContinental 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 InterContinental Hotels Group are associated (or correlated) with Gear4music Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gear4music Plc has no effect on the direction of InterContinental i.e., InterContinental and Gear4music Plc go up and down completely randomly.
Pair Corralation between InterContinental and Gear4music Plc
Assuming the 90 days trading horizon InterContinental Hotels Group is expected to generate 0.62 times more return on investment than Gear4music Plc. However, InterContinental Hotels Group is 1.61 times less risky than Gear4music Plc. It trades about 0.29 of its potential returns per unit of risk. Gear4music Plc is currently generating about -0.07 per unit of risk. If you would invest 857,600 in InterContinental Hotels Group on October 27, 2024 and sell it today you would earn a total of 189,400 from holding InterContinental Hotels Group or generate 22.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
InterContinental Hotels Group vs. Gear4music Plc
Performance |
Timeline |
InterContinental Hotels |
Gear4music Plc |
InterContinental and Gear4music Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InterContinental and Gear4music Plc
The main advantage of trading using opposite InterContinental and Gear4music Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InterContinental position performs unexpectedly, Gear4music Plc 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 Gear4music Plc will offset losses from the drop in Gear4music Plc's long position.InterContinental vs. Bankers Investment Trust | InterContinental vs. BW Offshore | InterContinental vs. EJF Investments | InterContinental vs. Vietnam Enterprise Investments |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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