Correlation Between Global Data and Australian Strategic
Can any of the company-specific risk be diversified away by investing in both Global Data and Australian Strategic 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 Global Data and Australian Strategic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Data Centre and Australian Strategic Materials, you can compare the effects of market volatilities on Global Data and Australian Strategic 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 Global Data with a short position of Australian Strategic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Data and Australian Strategic.
Diversification Opportunities for Global Data and Australian Strategic
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Global and Australian is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Global Data Centre and Australian Strategic Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Australian Strategic and Global Data 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 Global Data Centre are associated (or correlated) with Australian Strategic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Australian Strategic has no effect on the direction of Global Data i.e., Global Data and Australian Strategic go up and down completely randomly.
Pair Corralation between Global Data and Australian Strategic
Assuming the 90 days trading horizon Global Data Centre is expected to generate 0.74 times more return on investment than Australian Strategic. However, Global Data Centre is 1.35 times less risky than Australian Strategic. It trades about 0.05 of its potential returns per unit of risk. Australian Strategic Materials is currently generating about -0.04 per unit of risk. If you would invest 88.00 in Global Data Centre on September 29, 2024 and sell it today you would earn a total of 55.00 from holding Global Data Centre or generate 62.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Global Data Centre vs. Australian Strategic Materials
Performance |
Timeline |
Global Data Centre |
Australian Strategic |
Global Data and Australian Strategic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Data and Australian Strategic
The main advantage of trading using opposite Global Data and Australian Strategic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Data position performs unexpectedly, Australian Strategic 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 Australian Strategic will offset losses from the drop in Australian Strategic's long position.Global Data vs. Australian Strategic Materials | Global Data vs. Ainsworth Game Technology | Global Data vs. Black Rock Mining | Global Data vs. Computershare |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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