Correlation Between Spirit Telecom and Dexus Convenience
Can any of the company-specific risk be diversified away by investing in both Spirit Telecom and Dexus Convenience 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 Spirit Telecom and Dexus Convenience into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spirit Telecom and Dexus Convenience Retail, you can compare the effects of market volatilities on Spirit Telecom and Dexus Convenience 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 Spirit Telecom with a short position of Dexus Convenience. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spirit Telecom and Dexus Convenience.
Diversification Opportunities for Spirit Telecom and Dexus Convenience
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Spirit and Dexus is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Spirit Telecom and Dexus Convenience Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dexus Convenience Retail and Spirit Telecom 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 Spirit Telecom are associated (or correlated) with Dexus Convenience. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dexus Convenience Retail has no effect on the direction of Spirit Telecom i.e., Spirit Telecom and Dexus Convenience go up and down completely randomly.
Pair Corralation between Spirit Telecom and Dexus Convenience
Assuming the 90 days trading horizon Spirit Telecom is expected to generate 4.02 times more return on investment than Dexus Convenience. However, Spirit Telecom is 4.02 times more volatile than Dexus Convenience Retail. It trades about 0.06 of its potential returns per unit of risk. Dexus Convenience Retail is currently generating about 0.06 per unit of risk. If you would invest 5.60 in Spirit Telecom on September 2, 2024 and sell it today you would earn a total of 0.60 from holding Spirit Telecom or generate 10.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Spirit Telecom vs. Dexus Convenience Retail
Performance |
Timeline |
Spirit Telecom |
Dexus Convenience Retail |
Spirit Telecom and Dexus Convenience Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spirit Telecom and Dexus Convenience
The main advantage of trading using opposite Spirit Telecom and Dexus Convenience positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spirit Telecom position performs unexpectedly, Dexus Convenience 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 Dexus Convenience will offset losses from the drop in Dexus Convenience's long position.Spirit Telecom vs. Oceania Healthcare | Spirit Telecom vs. Event Hospitality and | Spirit Telecom vs. Austco Healthcare | Spirit Telecom vs. 29Metals |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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