Correlation Between Carsales and CosmoSteel Holdings
Can any of the company-specific risk be diversified away by investing in both Carsales and CosmoSteel Holdings 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 Carsales and CosmoSteel Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CarsalesCom and CosmoSteel Holdings Limited, you can compare the effects of market volatilities on Carsales and CosmoSteel Holdings 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 Carsales with a short position of CosmoSteel Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carsales and CosmoSteel Holdings.
Diversification Opportunities for Carsales and CosmoSteel Holdings
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Carsales and CosmoSteel is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding CarsalesCom and CosmoSteel Holdings Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CosmoSteel Holdings and Carsales 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 CarsalesCom are associated (or correlated) with CosmoSteel Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CosmoSteel Holdings has no effect on the direction of Carsales i.e., Carsales and CosmoSteel Holdings go up and down completely randomly.
Pair Corralation between Carsales and CosmoSteel Holdings
Assuming the 90 days horizon CarsalesCom is expected to under-perform the CosmoSteel Holdings. But the stock apears to be less risky and, when comparing its historical volatility, CarsalesCom is 1.53 times less risky than CosmoSteel Holdings. The stock trades about -0.13 of its potential returns per unit of risk. The CosmoSteel Holdings Limited is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7.50 in CosmoSteel Holdings Limited on December 5, 2024 and sell it today you would earn a total of 0.50 from holding CosmoSteel Holdings Limited or generate 6.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CarsalesCom vs. CosmoSteel Holdings Limited
Performance |
Timeline |
CarsalesCom |
CosmoSteel Holdings |
Carsales and CosmoSteel Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carsales and CosmoSteel Holdings
The main advantage of trading using opposite Carsales and CosmoSteel Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carsales position performs unexpectedly, CosmoSteel Holdings 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 CosmoSteel Holdings will offset losses from the drop in CosmoSteel Holdings' long position.Carsales vs. IRONVELD PLC LS | Carsales vs. Veolia Environnement SA | Carsales vs. KOBE STEEL LTD | Carsales vs. COSMOSTEEL HLDGS |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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