Correlation Between Centrex Metals and Centuria Industrial
Can any of the company-specific risk be diversified away by investing in both Centrex Metals and Centuria Industrial 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 Centrex Metals and Centuria Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Centrex Metals and Centuria Industrial Reit, you can compare the effects of market volatilities on Centrex Metals and Centuria Industrial 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 Centrex Metals with a short position of Centuria Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Centrex Metals and Centuria Industrial.
Diversification Opportunities for Centrex Metals and Centuria Industrial
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Centrex and Centuria is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Centrex Metals and Centuria Industrial Reit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Centuria Industrial Reit and Centrex 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 Centrex Metals are associated (or correlated) with Centuria Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Centuria Industrial Reit has no effect on the direction of Centrex Metals i.e., Centrex Metals and Centuria Industrial go up and down completely randomly.
Pair Corralation between Centrex Metals and Centuria Industrial
Assuming the 90 days trading horizon Centrex Metals is expected to under-perform the Centuria Industrial. In addition to that, Centrex Metals is 4.85 times more volatile than Centuria Industrial Reit. It trades about -0.06 of its total potential returns per unit of risk. Centuria Industrial Reit is currently generating about -0.01 per unit of volatility. If you would invest 319.00 in Centuria Industrial Reit on October 24, 2024 and sell it today you would lose (32.00) from holding Centuria Industrial Reit or give up 10.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Centrex Metals vs. Centuria Industrial Reit
Performance |
Timeline |
Centrex Metals |
Centuria Industrial Reit |
Centrex Metals and Centuria Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Centrex Metals and Centuria Industrial
The main advantage of trading using opposite Centrex Metals and Centuria Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Centrex Metals position performs unexpectedly, Centuria Industrial 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 Centuria Industrial will offset losses from the drop in Centuria Industrial's long position.Centrex Metals vs. Northern Star Resources | Centrex Metals vs. Evolution Mining | Centrex Metals vs. Bluescope Steel | Centrex Metals vs. De Grey Mining |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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