Correlation Between ON Semiconductor and LB Foster
Can any of the company-specific risk be diversified away by investing in both ON Semiconductor and LB Foster 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 LB Foster into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ON Semiconductor and LB Foster, you can compare the effects of market volatilities on ON Semiconductor and LB Foster 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 LB Foster. Check out your portfolio center. Please also check ongoing floating volatility patterns of ON Semiconductor and LB Foster.
Diversification Opportunities for ON Semiconductor and LB Foster
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ON Semiconductor and FSTR is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding ON Semiconductor and LB Foster in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Foster 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 LB Foster. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Foster has no effect on the direction of ON Semiconductor i.e., ON Semiconductor and LB Foster go up and down completely randomly.
Pair Corralation between ON Semiconductor and LB Foster
Allowing for the 90-day total investment horizon ON Semiconductor is expected to under-perform the LB Foster. But the stock apears to be less risky and, when comparing its historical volatility, ON Semiconductor is 1.19 times less risky than LB Foster. The stock trades about -0.01 of its potential returns per unit of risk. The LB Foster is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 1,850 in LB Foster on September 6, 2024 and sell it today you would earn a total of 1,075 from holding LB Foster or generate 58.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ON Semiconductor vs. LB Foster
Performance |
Timeline |
ON Semiconductor |
LB Foster |
ON Semiconductor and LB Foster Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ON Semiconductor and LB Foster
The main advantage of trading using opposite ON Semiconductor and LB Foster positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ON Semiconductor position performs unexpectedly, LB Foster 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 LB Foster will offset losses from the drop in LB Foster's long position.ON Semiconductor vs. Texas Instruments Incorporated | ON Semiconductor vs. Microchip Technology | ON Semiconductor vs. Analog Devices | ON Semiconductor vs. Qorvo Inc |
LB Foster vs. Ayala | LB Foster vs. Steel Partners Holdings | LB Foster vs. Griffon | LB Foster vs. Matthews International |
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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