Correlation Between Anglo Asian and Biome Technologies
Can any of the company-specific risk be diversified away by investing in both Anglo Asian and Biome Technologies 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 Anglo Asian and Biome Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Anglo Asian Mining and Biome Technologies Plc, you can compare the effects of market volatilities on Anglo Asian and Biome Technologies 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 Anglo Asian with a short position of Biome Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anglo Asian and Biome Technologies.
Diversification Opportunities for Anglo Asian and Biome Technologies
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Anglo and Biome is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Anglo Asian Mining and Biome Technologies Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biome Technologies Plc and Anglo Asian 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 Anglo Asian Mining are associated (or correlated) with Biome Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biome Technologies Plc has no effect on the direction of Anglo Asian i.e., Anglo Asian and Biome Technologies go up and down completely randomly.
Pair Corralation between Anglo Asian and Biome Technologies
Assuming the 90 days trading horizon Anglo Asian Mining is expected to generate 0.52 times more return on investment than Biome Technologies. However, Anglo Asian Mining is 1.92 times less risky than Biome Technologies. It trades about 0.12 of its potential returns per unit of risk. Biome Technologies Plc is currently generating about -0.36 per unit of risk. If you would invest 10,000 in Anglo Asian Mining on October 4, 2024 and sell it today you would earn a total of 400.00 from holding Anglo Asian Mining or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Anglo Asian Mining vs. Biome Technologies Plc
Performance |
Timeline |
Anglo Asian Mining |
Biome Technologies Plc |
Anglo Asian and Biome Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Anglo Asian and Biome Technologies
The main advantage of trading using opposite Anglo Asian and Biome Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anglo Asian position performs unexpectedly, Biome Technologies 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 Biome Technologies will offset losses from the drop in Biome Technologies' long position.Anglo Asian vs. InterContinental Hotels Group | Anglo Asian vs. Coor Service Management | Anglo Asian vs. Silver Bullet Data | Anglo Asian vs. Premier Foods PLC |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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