Correlation Between Centaurus Metals and Spirit Telecom
Can any of the company-specific risk be diversified away by investing in both Centaurus Metals and Spirit Telecom 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 Centaurus Metals and Spirit Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Centaurus Metals and Spirit Telecom, you can compare the effects of market volatilities on Centaurus Metals and Spirit Telecom 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 Centaurus Metals with a short position of Spirit Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Centaurus Metals and Spirit Telecom.
Diversification Opportunities for Centaurus Metals and Spirit Telecom
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Centaurus and Spirit is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Centaurus Metals and Spirit Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spirit Telecom and Centaurus 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 Centaurus Metals are associated (or correlated) with Spirit Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spirit Telecom has no effect on the direction of Centaurus Metals i.e., Centaurus Metals and Spirit Telecom go up and down completely randomly.
Pair Corralation between Centaurus Metals and Spirit Telecom
Assuming the 90 days trading horizon Centaurus Metals is expected to under-perform the Spirit Telecom. But the stock apears to be less risky and, when comparing its historical volatility, Centaurus Metals is 1.1 times less risky than Spirit Telecom. The stock trades about -0.03 of its potential returns per unit of risk. The Spirit Telecom is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 65.00 in Spirit Telecom on September 24, 2024 and sell it today you would lose (3.00) from holding Spirit Telecom or give up 4.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Centaurus Metals vs. Spirit Telecom
Performance |
Timeline |
Centaurus Metals |
Spirit Telecom |
Centaurus Metals and Spirit Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Centaurus Metals and Spirit Telecom
The main advantage of trading using opposite Centaurus Metals and Spirit Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Centaurus Metals position performs unexpectedly, Spirit Telecom 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 Spirit Telecom will offset losses from the drop in Spirit Telecom's long position.Centaurus Metals vs. Northern Star Resources | Centaurus Metals vs. Evolution Mining | Centaurus Metals vs. Bluescope Steel | Centaurus Metals vs. Aneka Tambang Tbk |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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