Correlation Between MA Financial and Dow Jones
Can any of the company-specific risk be diversified away by investing in both MA Financial and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on MA Financial and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of MA Financial and Dow Jones.
Diversification Opportunities for MA Financial and Dow Jones
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MAF and Dow is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding MA Financial Group and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of MA Financial i.e., MA Financial and Dow Jones go up and down completely randomly.
Pair Corralation between MA Financial and Dow Jones
Assuming the 90 days trading horizon MA Financial Group is expected to generate 3.64 times more return on investment than Dow Jones. However, MA Financial is 3.64 times more volatile than Dow Jones Industrial. It trades about 0.04 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.1 per unit of risk. If you would invest 555.00 in MA Financial Group on August 29, 2024 and sell it today you would earn a total of 90.00 from holding MA Financial Group or generate 16.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.05% |
| Values | Daily Returns |
MA Financial Group vs. Dow Jones Industrial
Performance |
| Timeline |
MA Financial and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
MA Financial Group
Pair trading matchups for MA Financial
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with MA Financial and Dow Jones
The main advantage of trading using opposite MA Financial and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MA Financial position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| MA Financial vs. Champion Iron | MA Financial vs. Ridley | MA Financial vs. Peel Mining | MA Financial vs. Australian Dairy Farms |
| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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