Correlation Between Minerals Technologies and Shake Shack
Can any of the company-specific risk be diversified away by investing in both Minerals Technologies and Shake Shack 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 Minerals Technologies and Shake Shack into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Minerals Technologies and Shake Shack, you can compare the effects of market volatilities on Minerals Technologies and Shake Shack 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 Minerals Technologies with a short position of Shake Shack. Check out your portfolio center. Please also check ongoing floating volatility patterns of Minerals Technologies and Shake Shack.
Diversification Opportunities for Minerals Technologies and Shake Shack
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Minerals and Shake is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Minerals Technologies and Shake Shack in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shake Shack and Minerals Technologies 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 Minerals Technologies are associated (or correlated) with Shake Shack. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shake Shack has no effect on the direction of Minerals Technologies i.e., Minerals Technologies and Shake Shack go up and down completely randomly.
Pair Corralation between Minerals Technologies and Shake Shack
Considering the 90-day investment horizon Minerals Technologies is expected to under-perform the Shake Shack. But the stock apears to be less risky and, when comparing its historical volatility, Minerals Technologies is 1.67 times less risky than Shake Shack. The stock trades about -0.27 of its potential returns per unit of risk. The Shake Shack is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 13,764 in Shake Shack on October 6, 2024 and sell it today you would lose (426.00) from holding Shake Shack or give up 3.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Minerals Technologies vs. Shake Shack
Performance |
Timeline |
Minerals Technologies |
Shake Shack |
Minerals Technologies and Shake Shack Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Minerals Technologies and Shake Shack
The main advantage of trading using opposite Minerals Technologies and Shake Shack positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Minerals Technologies position performs unexpectedly, Shake Shack 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 Shake Shack will offset losses from the drop in Shake Shack's long position.Minerals Technologies vs. Quaker Chemical | Minerals Technologies vs. Innospec | Minerals Technologies vs. H B Fuller | Minerals Technologies vs. Cabot |
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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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