Correlation Between Dexus Convenience and Iron Road
Can any of the company-specific risk be diversified away by investing in both Dexus Convenience and Iron Road 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 Dexus Convenience and Iron Road into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dexus Convenience Retail and Iron Road, you can compare the effects of market volatilities on Dexus Convenience and Iron Road 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 Dexus Convenience with a short position of Iron Road. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dexus Convenience and Iron Road.
Diversification Opportunities for Dexus Convenience and Iron Road
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dexus and Iron is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dexus Convenience Retail and Iron Road in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Iron Road and Dexus Convenience 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 Dexus Convenience Retail are associated (or correlated) with Iron Road. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Iron Road has no effect on the direction of Dexus Convenience i.e., Dexus Convenience and Iron Road go up and down completely randomly.
Pair Corralation between Dexus Convenience and Iron Road
Assuming the 90 days trading horizon Dexus Convenience Retail is expected to generate 0.36 times more return on investment than Iron Road. However, Dexus Convenience Retail is 2.8 times less risky than Iron Road. It trades about 0.06 of its potential returns per unit of risk. Iron Road is currently generating about -0.03 per unit of risk. If you would invest 255.00 in Dexus Convenience Retail on October 9, 2024 and sell it today you would earn a total of 36.00 from holding Dexus Convenience Retail or generate 14.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dexus Convenience Retail vs. Iron Road
Performance |
Timeline |
Dexus Convenience Retail |
Iron Road |
Dexus Convenience and Iron Road Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dexus Convenience and Iron Road
The main advantage of trading using opposite Dexus Convenience and Iron Road positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dexus Convenience position performs unexpectedly, Iron Road 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 Iron Road will offset losses from the drop in Iron Road's long position.Dexus Convenience vs. Metro Mining | Dexus Convenience vs. Truscott Mining Corp | Dexus Convenience vs. Queste Communications | Dexus Convenience vs. Australian Unity Office |
Iron Road vs. WiseTech Global Limited | Iron Road vs. Home Consortium | Iron Road vs. Genetic Technologies | Iron Road vs. Neurotech International |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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