Correlation Between Phibro Animal and SIMS METAL
Can any of the company-specific risk be diversified away by investing in both Phibro Animal and SIMS METAL 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 Phibro Animal and SIMS METAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Phibro Animal Health and SIMS METAL MGT, you can compare the effects of market volatilities on Phibro Animal and SIMS METAL 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 Phibro Animal with a short position of SIMS METAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Phibro Animal and SIMS METAL.
Diversification Opportunities for Phibro Animal and SIMS METAL
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Phibro and SIMS is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Phibro Animal Health and SIMS METAL MGT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIMS METAL MGT and Phibro Animal 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 Phibro Animal Health are associated (or correlated) with SIMS METAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIMS METAL MGT has no effect on the direction of Phibro Animal i.e., Phibro Animal and SIMS METAL go up and down completely randomly.
Pair Corralation between Phibro Animal and SIMS METAL
Assuming the 90 days horizon Phibro Animal Health is expected to generate 2.12 times more return on investment than SIMS METAL. However, Phibro Animal is 2.12 times more volatile than SIMS METAL MGT. It trades about 0.26 of its potential returns per unit of risk. SIMS METAL MGT is currently generating about 0.16 per unit of risk. If you would invest 1,493 in Phibro Animal Health on April 24, 2025 and sell it today you would earn a total of 967.00 from holding Phibro Animal Health or generate 64.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Phibro Animal Health vs. SIMS METAL MGT
Performance |
Timeline |
Phibro Animal Health |
SIMS METAL MGT |
Phibro Animal and SIMS METAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Phibro Animal and SIMS METAL
The main advantage of trading using opposite Phibro Animal and SIMS METAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Phibro Animal position performs unexpectedly, SIMS METAL 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 SIMS METAL will offset losses from the drop in SIMS METAL's long position.Phibro Animal vs. Semiconductor Manufacturing International | Phibro Animal vs. PROSIEBENSAT1 MEDIADR4 | Phibro Animal vs. TOREX SEMICONDUCTOR LTD | Phibro Animal vs. MagnaChip Semiconductor Corp |
SIMS METAL vs. Iridium Communications | SIMS METAL vs. Phibro Animal Health | SIMS METAL vs. Universal Health Realty | SIMS METAL vs. Evolent Health |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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