Correlation Between Universal Logistics and KLX Energy
Can any of the company-specific risk be diversified away by investing in both Universal Logistics and KLX Energy 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 Universal Logistics and KLX Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Logistics Holdings and KLX Energy Services, you can compare the effects of market volatilities on Universal Logistics and KLX Energy 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 Universal Logistics with a short position of KLX Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Logistics and KLX Energy.
Diversification Opportunities for Universal Logistics and KLX Energy
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Universal and KLX is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Universal Logistics Holdings and KLX Energy Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KLX Energy Services and Universal Logistics 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 Universal Logistics Holdings are associated (or correlated) with KLX Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KLX Energy Services has no effect on the direction of Universal Logistics i.e., Universal Logistics and KLX Energy go up and down completely randomly.
Pair Corralation between Universal Logistics and KLX Energy
Considering the 90-day investment horizon Universal Logistics Holdings is expected to generate 0.57 times more return on investment than KLX Energy. However, Universal Logistics Holdings is 1.77 times less risky than KLX Energy. It trades about -0.09 of its potential returns per unit of risk. KLX Energy Services is currently generating about -0.24 per unit of risk. If you would invest 4,743 in Universal Logistics Holdings on September 20, 2024 and sell it today you would lose (211.00) from holding Universal Logistics Holdings or give up 4.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Logistics Holdings vs. KLX Energy Services
Performance |
Timeline |
Universal Logistics |
KLX Energy Services |
Universal Logistics and KLX Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Logistics and KLX Energy
The main advantage of trading using opposite Universal Logistics and KLX Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Logistics position performs unexpectedly, KLX Energy 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 KLX Energy will offset losses from the drop in KLX Energy's long position.Universal Logistics vs. Covenant Logistics Group, | Universal Logistics vs. Marten Transport | Universal Logistics vs. Midland States Bancorp | Universal Logistics vs. PC Connection |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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