Correlation Between MA Financial and Mirrabooka Investments
Can any of the company-specific risk be diversified away by investing in both MA Financial and Mirrabooka Investments 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 MA Financial and Mirrabooka Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MA Financial Group and Mirrabooka Investments, you can compare the effects of market volatilities on MA Financial and Mirrabooka Investments 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 MA Financial with a short position of Mirrabooka Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of MA Financial and Mirrabooka Investments.
Diversification Opportunities for MA Financial and Mirrabooka Investments
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between MAF and Mirrabooka is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding MA Financial Group and Mirrabooka Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mirrabooka Investments and MA Financial 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 MA Financial Group are associated (or correlated) with Mirrabooka Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mirrabooka Investments has no effect on the direction of MA Financial i.e., MA Financial and Mirrabooka Investments go up and down completely randomly.
Pair Corralation between MA Financial and Mirrabooka Investments
Assuming the 90 days trading horizon MA Financial Group is expected to under-perform the Mirrabooka Investments. In addition to that, MA Financial is 2.34 times more volatile than Mirrabooka Investments. It trades about -0.1 of its total potential returns per unit of risk. Mirrabooka Investments is currently generating about 0.07 per unit of volatility. If you would invest 336.00 in Mirrabooka Investments on September 29, 2024 and sell it today you would earn a total of 4.00 from holding Mirrabooka Investments or generate 1.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MA Financial Group vs. Mirrabooka Investments
Performance |
Timeline |
MA Financial Group |
Mirrabooka Investments |
MA Financial and Mirrabooka Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MA Financial and Mirrabooka Investments
The main advantage of trading using opposite MA Financial and Mirrabooka Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MA Financial position performs unexpectedly, Mirrabooka Investments 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 Mirrabooka Investments will offset losses from the drop in Mirrabooka Investments' long position.MA Financial vs. Aneka Tambang Tbk | MA Financial vs. Commonwealth Bank | MA Financial vs. Commonwealth Bank of | MA Financial vs. Australia and New |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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