Correlation Between Strickland Metals and Commonwealth Bank
Can any of the company-specific risk be diversified away by investing in both Strickland Metals and Commonwealth Bank 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 Strickland Metals and Commonwealth Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strickland Metals and Commonwealth Bank, you can compare the effects of market volatilities on Strickland Metals and Commonwealth Bank 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 Strickland Metals with a short position of Commonwealth Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strickland Metals and Commonwealth Bank.
Diversification Opportunities for Strickland Metals and Commonwealth Bank
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Strickland and Commonwealth is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and Commonwealth Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commonwealth Bank and Strickland 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 Strickland Metals are associated (or correlated) with Commonwealth Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commonwealth Bank has no effect on the direction of Strickland Metals i.e., Strickland Metals and Commonwealth Bank go up and down completely randomly.
Pair Corralation between Strickland Metals and Commonwealth Bank
Assuming the 90 days trading horizon Strickland Metals is expected to generate 1.03 times less return on investment than Commonwealth Bank. In addition to that, Strickland Metals is 3.67 times more volatile than Commonwealth Bank. It trades about 0.04 of its total potential returns per unit of risk. Commonwealth Bank is currently generating about 0.15 per unit of volatility. If you would invest 13,929 in Commonwealth Bank on October 15, 2024 and sell it today you would earn a total of 1,676 from holding Commonwealth Bank or generate 12.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Strickland Metals vs. Commonwealth Bank
Performance |
Timeline |
Strickland Metals |
Commonwealth Bank |
Strickland Metals and Commonwealth Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strickland Metals and Commonwealth Bank
The main advantage of trading using opposite Strickland Metals and Commonwealth Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, Commonwealth Bank 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 Commonwealth Bank will offset losses from the drop in Commonwealth Bank's long position.Strickland Metals vs. Northern Star Resources | Strickland Metals vs. Evolution Mining | Strickland Metals vs. Bluescope Steel | Strickland 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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