Correlation Between DALATA HOTEL and InterContinental
Can any of the company-specific risk be diversified away by investing in both DALATA HOTEL and InterContinental 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 DALATA HOTEL and InterContinental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DALATA HOTEL and InterContinental Hotels Group, you can compare the effects of market volatilities on DALATA HOTEL and InterContinental 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 DALATA HOTEL with a short position of InterContinental. Check out your portfolio center. Please also check ongoing floating volatility patterns of DALATA HOTEL and InterContinental.
Diversification Opportunities for DALATA HOTEL and InterContinental
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between DALATA and InterContinental is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding DALATA HOTEL and InterContinental Hotels Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on InterContinental Hotels and DALATA HOTEL 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 DALATA HOTEL are associated (or correlated) with InterContinental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of InterContinental Hotels has no effect on the direction of DALATA HOTEL i.e., DALATA HOTEL and InterContinental go up and down completely randomly.
Pair Corralation between DALATA HOTEL and InterContinental
Assuming the 90 days trading horizon DALATA HOTEL is expected to generate 1.04 times less return on investment than InterContinental. In addition to that, DALATA HOTEL is 2.32 times more volatile than InterContinental Hotels Group. It trades about 0.05 of its total potential returns per unit of risk. InterContinental Hotels Group is currently generating about 0.11 per unit of volatility. If you would invest 9,792 in InterContinental Hotels Group on September 24, 2024 and sell it today you would earn a total of 2,208 from holding InterContinental Hotels Group or generate 22.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
DALATA HOTEL vs. InterContinental Hotels Group
Performance |
Timeline |
DALATA HOTEL |
InterContinental Hotels |
DALATA HOTEL and InterContinental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DALATA HOTEL and InterContinental
The main advantage of trading using opposite DALATA HOTEL and InterContinental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DALATA HOTEL position performs unexpectedly, InterContinental 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 InterContinental will offset losses from the drop in InterContinental's long position.DALATA HOTEL vs. APPLIED MATERIALS | DALATA HOTEL vs. Sumitomo Rubber Industries | DALATA HOTEL vs. BLUESCOPE STEEL | DALATA HOTEL vs. Khiron Life Sciences |
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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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