Correlation Between Commonwealth Bank and Emperor Energy
Can any of the company-specific risk be diversified away by investing in both Commonwealth Bank and Emperor Energy 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 Commonwealth Bank and Emperor Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commonwealth Bank and Emperor Energy, you can compare the effects of market volatilities on Commonwealth Bank and Emperor Energy 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 Commonwealth Bank with a short position of Emperor Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commonwealth Bank and Emperor Energy.
Diversification Opportunities for Commonwealth Bank and Emperor Energy
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Commonwealth and Emperor is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Commonwealth Bank and Emperor Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emperor Energy and Commonwealth Bank 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 Commonwealth Bank are associated (or correlated) with Emperor Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emperor Energy has no effect on the direction of Commonwealth Bank i.e., Commonwealth Bank and Emperor Energy go up and down completely randomly.
Pair Corralation between Commonwealth Bank and Emperor Energy
Assuming the 90 days trading horizon Commonwealth Bank is expected to generate 5.07 times less return on investment than Emperor Energy. But when comparing it to its historical volatility, Commonwealth Bank is 6.79 times less risky than Emperor Energy. It trades about 0.15 of its potential returns per unit of risk. Emperor Energy is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1.20 in Emperor Energy on September 30, 2024 and sell it today you would earn a total of 1.50 from holding Emperor Energy or generate 125.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Commonwealth Bank vs. Emperor Energy
Performance |
Timeline |
Commonwealth Bank |
Emperor Energy |
Commonwealth Bank and Emperor Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commonwealth Bank and Emperor Energy
The main advantage of trading using opposite Commonwealth Bank and Emperor Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commonwealth Bank position performs unexpectedly, Emperor Energy 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 Emperor Energy will offset losses from the drop in Emperor Energy's long position.Commonwealth Bank vs. Hotel Property Investments | Commonwealth Bank vs. A1 Investments Resources | Commonwealth Bank vs. Garda Diversified Ppty | Commonwealth Bank vs. Zoom2u Technologies |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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