Correlation Between Pointsbet Holdings and Maggie Beer
Can any of the company-specific risk be diversified away by investing in both Pointsbet Holdings and Maggie Beer 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 Pointsbet Holdings and Maggie Beer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pointsbet Holdings and Maggie Beer Holdings, you can compare the effects of market volatilities on Pointsbet Holdings and Maggie Beer 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 Pointsbet Holdings with a short position of Maggie Beer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pointsbet Holdings and Maggie Beer.
Diversification Opportunities for Pointsbet Holdings and Maggie Beer
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Pointsbet and Maggie is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Pointsbet Holdings and Maggie Beer Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maggie Beer Holdings and Pointsbet Holdings 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 Pointsbet Holdings are associated (or correlated) with Maggie Beer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maggie Beer Holdings has no effect on the direction of Pointsbet Holdings i.e., Pointsbet Holdings and Maggie Beer go up and down completely randomly.
Pair Corralation between Pointsbet Holdings and Maggie Beer
Assuming the 90 days trading horizon Pointsbet Holdings is expected to generate 0.67 times more return on investment than Maggie Beer. However, Pointsbet Holdings is 1.48 times less risky than Maggie Beer. It trades about 0.18 of its potential returns per unit of risk. Maggie Beer Holdings is currently generating about -0.03 per unit of risk. If you would invest 70.00 in Pointsbet Holdings on September 28, 2024 and sell it today you would earn a total of 27.00 from holding Pointsbet Holdings or generate 38.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Pointsbet Holdings vs. Maggie Beer Holdings
Performance |
Timeline |
Pointsbet Holdings |
Maggie Beer Holdings |
Pointsbet Holdings and Maggie Beer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pointsbet Holdings and Maggie Beer
The main advantage of trading using opposite Pointsbet Holdings and Maggie Beer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pointsbet Holdings position performs unexpectedly, Maggie Beer 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 Maggie Beer will offset losses from the drop in Maggie Beer's long position.Pointsbet Holdings vs. Renascor Resources | Pointsbet Holdings vs. Venus Metals | Pointsbet Holdings vs. Havilah Resources | Pointsbet Holdings vs. Asara Resources |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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