Correlation Between Aussie Broadband and COG Financial
Can any of the company-specific risk be diversified away by investing in both Aussie Broadband and COG Financial 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 Aussie Broadband and COG Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aussie Broadband and COG Financial Services, you can compare the effects of market volatilities on Aussie Broadband and COG Financial 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 Aussie Broadband with a short position of COG Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aussie Broadband and COG Financial.
Diversification Opportunities for Aussie Broadband and COG Financial
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Aussie and COG is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Aussie Broadband and COG Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COG Financial Services and Aussie Broadband 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 Aussie Broadband are associated (or correlated) with COG Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COG Financial Services has no effect on the direction of Aussie Broadband i.e., Aussie Broadband and COG Financial go up and down completely randomly.
Pair Corralation between Aussie Broadband and COG Financial
Assuming the 90 days trading horizon Aussie Broadband is expected to under-perform the COG Financial. But the stock apears to be less risky and, when comparing its historical volatility, Aussie Broadband is 3.08 times less risky than COG Financial. The stock trades about -0.34 of its potential returns per unit of risk. The COG Financial Services is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 90.00 in COG Financial Services on October 8, 2024 and sell it today you would earn a total of 11.00 from holding COG Financial Services or generate 12.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aussie Broadband vs. COG Financial Services
Performance |
Timeline |
Aussie Broadband |
COG Financial Services |
Aussie Broadband and COG Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aussie Broadband and COG Financial
The main advantage of trading using opposite Aussie Broadband and COG Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aussie Broadband position performs unexpectedly, COG Financial 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 COG Financial will offset losses from the drop in COG Financial's long position.Aussie Broadband vs. MetalsGrove Mining | Aussie Broadband vs. Aurelia Metals | Aussie Broadband vs. Charter Hall Retail | Aussie Broadband vs. Sky Metals |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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