Correlation Between Fortescue Metals and Realty Income
Can any of the company-specific risk be diversified away by investing in both Fortescue Metals and Realty Income 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 Fortescue Metals and Realty Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fortescue Metals Group and Realty Income, you can compare the effects of market volatilities on Fortescue Metals and Realty Income 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 Fortescue Metals with a short position of Realty Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fortescue Metals and Realty Income.
Diversification Opportunities for Fortescue Metals and Realty Income
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fortescue and Realty is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Fortescue Metals Group and Realty Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Realty Income and Fortescue Metals 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 Fortescue Metals Group are associated (or correlated) with Realty Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Realty Income has no effect on the direction of Fortescue Metals i.e., Fortescue Metals and Realty Income go up and down completely randomly.
Pair Corralation between Fortescue Metals and Realty Income
Assuming the 90 days horizon Fortescue Metals Group is expected to under-perform the Realty Income. In addition to that, Fortescue Metals is 1.81 times more volatile than Realty Income. It trades about -0.05 of its total potential returns per unit of risk. Realty Income is currently generating about -0.09 per unit of volatility. If you would invest 5,518 in Realty Income on October 8, 2024 and sell it today you would lose (353.00) from holding Realty Income or give up 6.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fortescue Metals Group vs. Realty Income
Performance |
Timeline |
Fortescue Metals |
Realty Income |
Fortescue Metals and Realty Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fortescue Metals and Realty Income
The main advantage of trading using opposite Fortescue Metals and Realty Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fortescue Metals position performs unexpectedly, Realty Income 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 Realty Income will offset losses from the drop in Realty Income's long position.Fortescue Metals vs. Vale SA | Fortescue Metals vs. Glencore plc | Fortescue Metals vs. Superior Plus Corp | Fortescue Metals vs. NMI Holdings |
Realty Income vs. UPDATE SOFTWARE | Realty Income vs. Calibre Mining Corp | Realty Income vs. Micron Technology | Realty Income vs. PKSHA TECHNOLOGY INC |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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