Correlation Between Summit Materials and Insteel Industries
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Insteel Industries 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 Summit Materials and Insteel Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials and Insteel Industries, you can compare the effects of market volatilities on Summit Materials and Insteel Industries 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 Summit Materials with a short position of Insteel Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Insteel Industries.
Diversification Opportunities for Summit Materials and Insteel Industries
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Summit and Insteel is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials and Insteel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insteel Industries and Summit Materials 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 Summit Materials are associated (or correlated) with Insteel Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insteel Industries has no effect on the direction of Summit Materials i.e., Summit Materials and Insteel Industries go up and down completely randomly.
Pair Corralation between Summit Materials and Insteel Industries
Considering the 90-day investment horizon Summit Materials is expected to generate 0.98 times more return on investment than Insteel Industries. However, Summit Materials is 1.02 times less risky than Insteel Industries. It trades about 0.23 of its potential returns per unit of risk. Insteel Industries is currently generating about 0.08 per unit of risk. If you would invest 4,143 in Summit Materials on September 21, 2024 and sell it today you would earn a total of 892.00 from holding Summit Materials or generate 21.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Summit Materials vs. Insteel Industries
Performance |
Timeline |
Summit Materials |
Insteel Industries |
Summit Materials and Insteel Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Insteel Industries
The main advantage of trading using opposite Summit Materials and Insteel Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Insteel Industries 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 Insteel Industries will offset losses from the drop in Insteel Industries' long position.Summit Materials vs. Martin Marietta Materials | Summit Materials vs. Vulcan Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
Insteel Industries vs. Mayville Engineering Co | Insteel Industries vs. Gulf Island Fabrication | Insteel Industries vs. ESAB Corp | Insteel Industries vs. Northwest Pipe |
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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