Correlation Between MA Financial and Queste Communications
Can any of the company-specific risk be diversified away by investing in both MA Financial and Queste Communications 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 Queste Communications 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 Queste Communications, you can compare the effects of market volatilities on MA Financial and Queste Communications 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 Queste Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of MA Financial and Queste Communications.
Diversification Opportunities for MA Financial and Queste Communications
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between MAF and Queste is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding MA Financial Group and Queste Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Queste Communications 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 Queste Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Queste Communications has no effect on the direction of MA Financial i.e., MA Financial and Queste Communications go up and down completely randomly.
Pair Corralation between MA Financial and Queste Communications
Assuming the 90 days trading horizon MA Financial Group is expected to under-perform the Queste Communications. In addition to that, MA Financial is 1.07 times more volatile than Queste Communications. It trades about -0.39 of its total potential returns per unit of risk. Queste Communications is currently generating about -0.21 per unit of volatility. If you would invest 4.90 in Queste Communications on September 23, 2024 and sell it today you would lose (0.40) from holding Queste Communications or give up 8.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MA Financial Group vs. Queste Communications
Performance |
Timeline |
MA Financial Group |
Queste Communications |
MA Financial and Queste Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MA Financial and Queste Communications
The main advantage of trading using opposite MA Financial and Queste Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MA Financial position performs unexpectedly, Queste Communications 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 Queste Communications will offset losses from the drop in Queste Communications' long position.MA Financial vs. Westpac Banking | MA Financial vs. National Australia Bank | MA Financial vs. National Australia Bank | MA Financial vs. National Australia Bank |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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