Correlation Between Wayside Technology and Lenovo Group
Can any of the company-specific risk be diversified away by investing in both Wayside Technology and Lenovo Group 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 Wayside Technology and Lenovo Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wayside Technology Group and Lenovo Group Limited, you can compare the effects of market volatilities on Wayside Technology and Lenovo Group 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 Wayside Technology with a short position of Lenovo Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wayside Technology and Lenovo Group.
Diversification Opportunities for Wayside Technology and Lenovo Group
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Wayside and Lenovo is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Wayside Technology Group and Lenovo Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lenovo Group Limited and Wayside Technology 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 Wayside Technology Group are associated (or correlated) with Lenovo Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lenovo Group Limited has no effect on the direction of Wayside Technology i.e., Wayside Technology and Lenovo Group go up and down completely randomly.
Pair Corralation between Wayside Technology and Lenovo Group
Assuming the 90 days horizon Wayside Technology Group is expected to generate 1.13 times more return on investment than Lenovo Group. However, Wayside Technology is 1.13 times more volatile than Lenovo Group Limited. It trades about 0.13 of its potential returns per unit of risk. Lenovo Group Limited is currently generating about -0.05 per unit of risk. If you would invest 9,737 in Wayside Technology Group on October 23, 2024 and sell it today you would earn a total of 2,563 from holding Wayside Technology Group or generate 26.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wayside Technology Group vs. Lenovo Group Limited
Performance |
Timeline |
Wayside Technology |
Lenovo Group Limited |
Wayside Technology and Lenovo Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wayside Technology and Lenovo Group
The main advantage of trading using opposite Wayside Technology and Lenovo Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wayside Technology position performs unexpectedly, Lenovo Group 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 Lenovo Group will offset losses from the drop in Lenovo Group's long position.Wayside Technology vs. Lifeway Foods | Wayside Technology vs. Solstad Offshore ASA | Wayside Technology vs. EVS Broadcast Equipment | Wayside Technology vs. TreeHouse Foods |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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