Correlation Between Ningbo Fangzheng and Dow Jones

Can any of the company-specific risk be diversified away by investing in both Ningbo Fangzheng and Dow Jones 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 Ningbo Fangzheng and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Ningbo Fangzheng Automobile and Dow Jones Industrial, you can compare the effects of market volatilities on Ningbo Fangzheng and Dow Jones 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 Fangzheng with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningbo Fangzheng and Dow Jones.

Diversification Opportunities for Ningbo Fangzheng and Dow Jones

-0.24

Correlation Coefficient

Ningbo Fangzheng  Dow Jones

Very good diversification

The 3 months correlation between Ningbo and Dow is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Ningbo Fangzheng Automobile and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Ningbo Fangzheng 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 Fangzheng Automobile are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Ningbo Fangzheng i.e., Ningbo Fangzheng and Dow Jones go up and down completely randomly.

Pair Corralation between Ningbo Fangzheng and Dow Jones

Assuming the 90 days trading horizon Ningbo Fangzheng Automobile is expected to generate 3.68 times more return on investment than Dow Jones. However, Ningbo Fangzheng is 3.68 times more volatile than Dow Jones Industrial. It trades about 0.01 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest  1,644  in Ningbo Fangzheng Automobile on December 2, 2024 and sell it today you would lose (14.00) from holding Ningbo Fangzheng Automobile or give up 0.85% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.16%
Values	Daily Returns

Ningbo Fangzheng Automobile  vs.  Dow Jones Industrial

Pair Trading with Ningbo Fangzheng and Dow Jones

The main advantage of trading using opposite Ningbo Fangzheng and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningbo Fangzheng position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.

The idea behind Ningbo Fangzheng Automobile and Dow Jones Industrial 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.