Correlation Between U Power and NESNVX
Specify exactly 2 symbols:
By analyzing existing cross correlation between U Power Limited and NESNVX 4 12 SEP 25, you can compare the effects of market volatilities on U Power and NESNVX 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 NESNVX. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Power and NESNVX.
Diversification Opportunities for U Power and NESNVX
Very good diversification
The 3 months correlation between UCAR and NESNVX is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding U Power Limited and NESNVX 4 12 SEP 25 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NESNVX 4 12 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 NESNVX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NESNVX 4 12 has no effect on the direction of U Power i.e., U Power and NESNVX go up and down completely randomly.
Pair Corralation between U Power and NESNVX
Given the investment horizon of 90 days U Power Limited is expected to generate 9.09 times more return on investment than NESNVX. However, U Power is 9.09 times more volatile than NESNVX 4 12 SEP 25. It trades about 0.07 of its potential returns per unit of risk. NESNVX 4 12 SEP 25 is currently generating about -0.01 per unit of risk. If you would invest 641.00 in U Power Limited on October 10, 2024 and sell it today you would earn a total of 99.00 from holding U Power Limited or generate 15.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 44.26% |
Values | Daily Returns |
U Power Limited vs. NESNVX 4 12 SEP 25
Performance |
Timeline |
U Power Limited |
NESNVX 4 12 |
U Power and NESNVX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Power and NESNVX
The main advantage of trading using opposite U Power and NESNVX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Power position performs unexpectedly, NESNVX 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 NESNVX will offset losses from the drop in NESNVX's long position.U Power vs. Kaixin Auto Holdings | U Power vs. Uxin | U Power vs. SunCar Technology Group | U Power vs. Carvana Co |
NESNVX vs. Envista Holdings Corp | NESNVX vs. Modine Manufacturing | NESNVX vs. Boston Properties | NESNVX vs. U Power 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |