Correlation Between SEI Investments and Minerals Technologies
Can any of the company-specific risk be diversified away by investing in both SEI Investments and Minerals 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 SEI Investments and Minerals Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEI Investments and Minerals Technologies, you can compare the effects of market volatilities on SEI Investments and Minerals 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 SEI Investments with a short position of Minerals Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEI Investments and Minerals Technologies.
Diversification Opportunities for SEI Investments and Minerals Technologies
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SEI and Minerals is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding SEI Investments and Minerals Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Minerals Technologies and SEI 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 SEI Investments are associated (or correlated) with Minerals Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Minerals Technologies has no effect on the direction of SEI Investments i.e., SEI Investments and Minerals Technologies go up and down completely randomly.
Pair Corralation between SEI Investments and Minerals Technologies
Given the investment horizon of 90 days SEI Investments is expected to generate 0.66 times more return on investment than Minerals Technologies. However, SEI Investments is 1.51 times less risky than Minerals Technologies. It trades about 0.28 of its potential returns per unit of risk. Minerals Technologies is currently generating about 0.07 per unit of risk. If you would invest 6,918 in SEI Investments on September 19, 2024 and sell it today you would earn a total of 1,594 from holding SEI Investments or generate 23.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SEI Investments vs. Minerals Technologies
Performance |
Timeline |
SEI Investments |
Minerals Technologies |
SEI Investments and Minerals Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEI Investments and Minerals Technologies
The main advantage of trading using opposite SEI Investments and Minerals Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEI Investments position performs unexpectedly, Minerals 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 Minerals Technologies will offset losses from the drop in Minerals Technologies' long position.SEI Investments vs. Visa Class A | SEI Investments vs. Deutsche Bank AG | SEI Investments vs. Dynex Capital |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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