Correlation Between Astoria Investments and Afrimat
Can any of the company-specific risk be diversified away by investing in both Astoria Investments and Afrimat 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 Astoria Investments and Afrimat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astoria Investments and Afrimat, you can compare the effects of market volatilities on Astoria Investments and Afrimat 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 Astoria Investments with a short position of Afrimat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astoria Investments and Afrimat.
Diversification Opportunities for Astoria Investments and Afrimat
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Astoria and Afrimat is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Astoria Investments and Afrimat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Afrimat and Astoria Investments 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 Astoria Investments are associated (or correlated) with Afrimat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Afrimat has no effect on the direction of Astoria Investments i.e., Astoria Investments and Afrimat go up and down completely randomly.
Pair Corralation between Astoria Investments and Afrimat
Assuming the 90 days trading horizon Astoria Investments is expected to under-perform the Afrimat. In addition to that, Astoria Investments is 1.34 times more volatile than Afrimat. It trades about -0.1 of its total potential returns per unit of risk. Afrimat is currently generating about 0.08 per unit of volatility. If you would invest 662,100 in Afrimat on September 14, 2024 and sell it today you would earn a total of 47,600 from holding Afrimat or generate 7.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Astoria Investments vs. Afrimat
Performance |
Timeline |
Astoria Investments |
Afrimat |
Astoria Investments and Afrimat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astoria Investments and Afrimat
The main advantage of trading using opposite Astoria Investments and Afrimat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astoria Investments position performs unexpectedly, Afrimat 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 Afrimat will offset losses from the drop in Afrimat's long position.Astoria Investments vs. HomeChoice Investments | Astoria Investments vs. Hosken Consolidated Investments | Astoria Investments vs. Deneb Investments | Astoria Investments vs. CA Sales Holdings |
Afrimat vs. Trematon Capital Investments | Afrimat vs. Deneb Investments | Afrimat vs. Astral Foods | Afrimat vs. Astoria Investments |
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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