Correlation Between JB Hunt and Automatic Data
Can any of the company-specific risk be diversified away by investing in both JB Hunt and Automatic Data 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 JB Hunt and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JB Hunt Transport and Automatic Data Processing, you can compare the effects of market volatilities on JB Hunt and Automatic Data 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 JB Hunt with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of JB Hunt and Automatic Data.
Diversification Opportunities for JB Hunt and Automatic Data
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between J1BH34 and Automatic is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding JB Hunt Transport and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and JB Hunt 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 JB Hunt Transport are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of JB Hunt i.e., JB Hunt and Automatic Data go up and down completely randomly.
Pair Corralation between JB Hunt and Automatic Data
Assuming the 90 days trading horizon JB Hunt Transport is expected to generate 0.3 times more return on investment than Automatic Data. However, JB Hunt Transport is 3.28 times less risky than Automatic Data. It trades about 0.14 of its potential returns per unit of risk. Automatic Data Processing is currently generating about -0.07 per unit of risk. If you would invest 2,787 in JB Hunt Transport on December 25, 2024 and sell it today you would earn a total of 98.00 from holding JB Hunt Transport or generate 3.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JB Hunt Transport vs. Automatic Data Processing
Performance |
Timeline |
JB Hunt Transport |
Automatic Data Processing |
JB Hunt and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JB Hunt and Automatic Data
The main advantage of trading using opposite JB Hunt and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JB Hunt position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.JB Hunt vs. Ryanair Holdings plc | JB Hunt vs. UnitedHealth Group Incorporated | JB Hunt vs. STMicroelectronics NV | JB Hunt vs. Apartment Investment and |
Automatic Data vs. United States Steel | Automatic Data vs. Bank of America | Automatic Data vs. KB Financial Group | Automatic Data vs. HDFC Bank Limited |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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