Correlation Between Old Dominion and Jabil Circuit
Can any of the company-specific risk be diversified away by investing in both Old Dominion and Jabil Circuit 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 Old Dominion and Jabil Circuit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Dominion Freight and Jabil Circuit, you can compare the effects of market volatilities on Old Dominion and Jabil Circuit 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 Old Dominion with a short position of Jabil Circuit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Dominion and Jabil Circuit.
Diversification Opportunities for Old Dominion and Jabil Circuit
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Old and Jabil is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Old Dominion Freight and Jabil Circuit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jabil Circuit and Old Dominion 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 Old Dominion Freight are associated (or correlated) with Jabil Circuit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jabil Circuit has no effect on the direction of Old Dominion i.e., Old Dominion and Jabil Circuit go up and down completely randomly.
Pair Corralation between Old Dominion and Jabil Circuit
Given the investment horizon of 90 days Old Dominion Freight is expected to under-perform the Jabil Circuit. But the stock apears to be less risky and, when comparing its historical volatility, Old Dominion Freight is 1.17 times less risky than Jabil Circuit. The stock trades about -0.51 of its potential returns per unit of risk. The Jabil Circuit is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 13,064 in Jabil Circuit on September 22, 2024 and sell it today you would earn a total of 1,436 from holding Jabil Circuit or generate 10.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Old Dominion Freight vs. Jabil Circuit
Performance |
Timeline |
Old Dominion Freight |
Jabil Circuit |
Old Dominion and Jabil Circuit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Dominion and Jabil Circuit
The main advantage of trading using opposite Old Dominion and Jabil Circuit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Dominion position performs unexpectedly, Jabil Circuit 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 Jabil Circuit will offset losses from the drop in Jabil Circuit's long position.Old Dominion vs. ArcBest Corp | Old Dominion vs. Marten Transport | Old Dominion vs. Werner Enterprises | Old Dominion vs. Knight Transportation |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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