Correlation Between Orient Telecoms and Hilton Food
Can any of the company-specific risk be diversified away by investing in both Orient Telecoms and Hilton Food 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 Orient Telecoms and Hilton Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orient Telecoms and Hilton Food Group, you can compare the effects of market volatilities on Orient Telecoms and Hilton Food 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 Orient Telecoms with a short position of Hilton Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orient Telecoms and Hilton Food.
Diversification Opportunities for Orient Telecoms and Hilton Food
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Orient and Hilton is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Orient Telecoms and Hilton Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hilton Food Group and Orient Telecoms 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 Orient Telecoms are associated (or correlated) with Hilton Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hilton Food Group has no effect on the direction of Orient Telecoms i.e., Orient Telecoms and Hilton Food go up and down completely randomly.
Pair Corralation between Orient Telecoms and Hilton Food
Assuming the 90 days trading horizon Orient Telecoms is expected to under-perform the Hilton Food. In addition to that, Orient Telecoms is 5.52 times more volatile than Hilton Food Group. It trades about -0.13 of its total potential returns per unit of risk. Hilton Food Group is currently generating about -0.08 per unit of volatility. If you would invest 89,200 in Hilton Food Group on December 22, 2024 and sell it today you would lose (5,400) from holding Hilton Food Group or give up 6.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Orient Telecoms vs. Hilton Food Group
Performance |
Timeline |
Orient Telecoms |
Hilton Food Group |
Orient Telecoms and Hilton Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orient Telecoms and Hilton Food
The main advantage of trading using opposite Orient Telecoms and Hilton Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orient Telecoms position performs unexpectedly, Hilton Food 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 Hilton Food will offset losses from the drop in Hilton Food's long position.Orient Telecoms vs. Veolia Environnement VE | Orient Telecoms vs. United Internet AG | Orient Telecoms vs. Impax Environmental Markets | Orient Telecoms vs. X FAB Silicon Foundries |
Hilton Food vs. One Media iP | Hilton Food vs. Global Net Lease | Hilton Food vs. Catena Media PLC | Hilton Food vs. Ubisoft Entertainment |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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