Correlation Between U Power and Enersys
Can any of the company-specific risk be diversified away by investing in both U Power and Enersys 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 U Power and Enersys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between U Power Limited and Enersys, you can compare the effects of market volatilities on U Power and Enersys 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 U Power with a short position of Enersys. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Power and Enersys.
Diversification Opportunities for U Power and Enersys
Good diversification
The 3 months correlation between UCAR and Enersys is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding U Power Limited and Enersys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enersys and U Power 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 U Power Limited are associated (or correlated) with Enersys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enersys has no effect on the direction of U Power i.e., U Power and Enersys go up and down completely randomly.
Pair Corralation between U Power and Enersys
Given the investment horizon of 90 days U Power Limited is expected to generate 2.48 times more return on investment than Enersys. However, U Power is 2.48 times more volatile than Enersys. It trades about 0.21 of its potential returns per unit of risk. Enersys is currently generating about -0.1 per unit of risk. If you would invest 651.00 in U Power Limited on September 16, 2024 and sell it today you would earn a total of 93.00 from holding U Power Limited or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
U Power Limited vs. Enersys
Performance |
Timeline |
U Power Limited |
Enersys |
U Power and Enersys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Power and Enersys
The main advantage of trading using opposite U Power and Enersys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Power position performs unexpectedly, Enersys 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 Enersys will offset losses from the drop in Enersys' long position.The idea behind U Power Limited and Enersys pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Enersys vs. Advanced Energy Industries | Enersys vs. Hubbell | Enersys vs. Acuity Brands | Enersys vs. Kimball Electronics |
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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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