Correlation Between Ningbo Fujia and Invengo Information
Specify exactly 2 symbols:
By analyzing existing cross correlation between Ningbo Fujia Industrial and Invengo Information Technology, you can compare the effects of market volatilities on Ningbo Fujia and Invengo Information 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 Ningbo Fujia with a short position of Invengo Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningbo Fujia and Invengo Information.
Diversification Opportunities for Ningbo Fujia and Invengo Information
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ningbo and Invengo is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ningbo Fujia Industrial and Invengo Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invengo Information and Ningbo Fujia 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 Ningbo Fujia Industrial are associated (or correlated) with Invengo Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invengo Information has no effect on the direction of Ningbo Fujia i.e., Ningbo Fujia and Invengo Information go up and down completely randomly.
Pair Corralation between Ningbo Fujia and Invengo Information
Assuming the 90 days trading horizon Ningbo Fujia is expected to generate 1.62 times less return on investment than Invengo Information. In addition to that, Ningbo Fujia is 1.4 times more volatile than Invengo Information Technology. It trades about 0.09 of its total potential returns per unit of risk. Invengo Information Technology is currently generating about 0.2 per unit of volatility. If you would invest 524.00 in Invengo Information Technology on November 8, 2024 and sell it today you would earn a total of 37.00 from holding Invengo Information Technology or generate 7.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ningbo Fujia Industrial vs. Invengo Information Technology
Performance |
Timeline |
Ningbo Fujia Industrial |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
Invengo Information |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Ningbo Fujia and Invengo Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningbo Fujia and Invengo Information
The main advantage of trading using opposite Ningbo Fujia and Invengo Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningbo Fujia position performs unexpectedly, Invengo Information 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 Invengo Information will offset losses from the drop in Invengo Information's long position.The idea behind Ningbo Fujia Industrial and Invengo Information Technology 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.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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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