Correlation Between ON Semiconductor and Summit Materials
Can any of the company-specific risk be diversified away by investing in both ON Semiconductor and Summit Materials 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 ON Semiconductor and Summit Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ON Semiconductor and Summit Materials, you can compare the effects of market volatilities on ON Semiconductor and Summit Materials 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 ON Semiconductor with a short position of Summit Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of ON Semiconductor and Summit Materials.
Diversification Opportunities for ON Semiconductor and Summit Materials
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ON Semiconductor and Summit is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding ON Semiconductor and Summit Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Summit Materials and ON Semiconductor 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 ON Semiconductor are associated (or correlated) with Summit Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Summit Materials has no effect on the direction of ON Semiconductor i.e., ON Semiconductor and Summit Materials go up and down completely randomly.
Pair Corralation between ON Semiconductor and Summit Materials
Allowing for the 90-day total investment horizon ON Semiconductor is expected to under-perform the Summit Materials. In addition to that, ON Semiconductor is 1.45 times more volatile than Summit Materials. It trades about 0.0 of its total potential returns per unit of risk. Summit Materials is currently generating about 0.08 per unit of volatility. If you would invest 2,683 in Summit Materials on October 5, 2024 and sell it today you would earn a total of 2,412 from holding Summit Materials or generate 89.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ON Semiconductor vs. Summit Materials
Performance |
Timeline |
ON Semiconductor |
Summit Materials |
ON Semiconductor and Summit Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ON Semiconductor and Summit Materials
The main advantage of trading using opposite ON Semiconductor and Summit Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ON Semiconductor position performs unexpectedly, Summit Materials 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 Summit Materials will offset losses from the drop in Summit Materials' long position.ON Semiconductor vs. Home Federal Bancorp | ON Semiconductor vs. TRI Pointe Homes | ON Semiconductor vs. HP Inc | ON Semiconductor vs. Chevron Corp |
Summit Materials vs. Martin Marietta Materials | Summit Materials vs. Vulcan Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
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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