Correlation Between Carnegie Clean and Dexus Convenience
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean 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 Carnegie Clean and Dexus Convenience into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and Dexus Convenience Retail, you can compare the effects of market volatilities on Carnegie Clean 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 Carnegie Clean with a short position of Dexus Convenience. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and Dexus Convenience.
Diversification Opportunities for Carnegie Clean and Dexus Convenience
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Carnegie and Dexus is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy 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 Carnegie Clean 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 Carnegie Clean Energy 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 Carnegie Clean i.e., Carnegie Clean and Dexus Convenience go up and down completely randomly.
Pair Corralation between Carnegie Clean and Dexus Convenience
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to under-perform the Dexus Convenience. In addition to that, Carnegie Clean is 3.08 times more volatile than Dexus Convenience Retail. It trades about -0.08 of its total potential returns per unit of risk. Dexus Convenience Retail is currently generating about 0.02 per unit of volatility. If you would invest 293.00 in Dexus Convenience Retail on October 6, 2024 and sell it today you would earn a total of 2.00 from holding Dexus Convenience Retail or generate 0.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. Dexus Convenience Retail
Performance |
Timeline |
Carnegie Clean Energy |
Dexus Convenience Retail |
Carnegie Clean and Dexus Convenience Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and Dexus Convenience
The main advantage of trading using opposite Carnegie Clean and Dexus Convenience positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean 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.Carnegie Clean vs. Aneka Tambang Tbk | Carnegie Clean vs. National Australia Bank | Carnegie Clean vs. Commonwealth Bank of | Carnegie Clean vs. Commonwealth Bank of |
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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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