Correlation Between Hilton Food and Digital Realty
Can any of the company-specific risk be diversified away by investing in both Hilton Food and Digital Realty 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 Hilton Food and Digital Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hilton Food Group and Digital Realty Trust, you can compare the effects of market volatilities on Hilton Food and Digital Realty 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 Hilton Food with a short position of Digital Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hilton Food and Digital Realty.
Diversification Opportunities for Hilton Food and Digital Realty
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hilton and Digital is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Hilton Food Group and Digital Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Realty Trust and Hilton Food 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 Hilton Food Group are associated (or correlated) with Digital Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Realty Trust has no effect on the direction of Hilton Food i.e., Hilton Food and Digital Realty go up and down completely randomly.
Pair Corralation between Hilton Food and Digital Realty
Assuming the 90 days trading horizon Hilton Food Group is expected to generate 0.51 times more return on investment than Digital Realty. However, Hilton Food Group is 1.97 times less risky than Digital Realty. It trades about -0.08 of its potential returns per unit of risk. Digital Realty Trust is currently generating about -0.1 per unit of risk. If you would invest 89,200 in Hilton Food Group on December 23, 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 | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Hilton Food Group vs. Digital Realty Trust
Performance |
Timeline |
Hilton Food Group |
Digital Realty Trust |
Hilton Food and Digital Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hilton Food and Digital Realty
The main advantage of trading using opposite Hilton Food and Digital Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hilton Food position performs unexpectedly, Digital Realty 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 Digital Realty will offset losses from the drop in Digital Realty's long position.Hilton Food vs. United States Steel | Hilton Food vs. Tata Steel Limited | Hilton Food vs. Gore Street Energy | Hilton Food vs. Veolia Environnement VE |
Digital Realty vs. Baker Steel Resources | Digital Realty vs. Impax Environmental Markets | Digital Realty vs. Jade Road Investments | Digital Realty vs. Orascom Investment Holding |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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