Correlation Between XinJiang GuoTong and Bank of China

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both XinJiang GuoTong and Bank of China 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 XinJiang GuoTong and Bank of China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XinJiang GuoTong Pipeline and Bank of China, you can compare the effects of market volatilities on XinJiang GuoTong and Bank of China 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 XinJiang GuoTong with a short position of Bank of China. Check out your portfolio center. Please also check ongoing floating volatility patterns of XinJiang GuoTong and Bank of China.

Diversification Opportunities for XinJiang GuoTong and Bank of China

0.13
  Correlation Coefficient

Average diversification

The 3 months correlation between XinJiang and Bank is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding XinJiang GuoTong Pipeline and Bank of China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of China and XinJiang GuoTong 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 XinJiang GuoTong Pipeline are associated (or correlated) with Bank of China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of China has no effect on the direction of XinJiang GuoTong i.e., XinJiang GuoTong and Bank of China go up and down completely randomly.

Pair Corralation between XinJiang GuoTong and Bank of China

Assuming the 90 days trading horizon XinJiang GuoTong Pipeline is expected to under-perform the Bank of China. In addition to that, XinJiang GuoTong is 2.2 times more volatile than Bank of China. It trades about -0.01 of its total potential returns per unit of risk. Bank of China is currently generating about 0.1 per unit of volatility. If you would invest  303.00  in Bank of China on October 11, 2024 and sell it today you would earn a total of  243.00  from holding Bank of China or generate 80.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

XinJiang GuoTong Pipeline  vs.  Bank of China

 Performance 
       Timeline  
XinJiang GuoTong Pipeline 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in XinJiang GuoTong Pipeline are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, XinJiang GuoTong may actually be approaching a critical reversion point that can send shares even higher in February 2025.
Bank of China 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Bank of China are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Bank of China may actually be approaching a critical reversion point that can send shares even higher in February 2025.

XinJiang GuoTong and Bank of China Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with XinJiang GuoTong and Bank of China

The main advantage of trading using opposite XinJiang GuoTong and Bank of China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XinJiang GuoTong position performs unexpectedly, Bank of China 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 Bank of China will offset losses from the drop in Bank of China's long position.
The idea behind XinJiang GuoTong Pipeline and Bank of China 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

Other Complementary Tools

Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Equity Valuation
Check real value of public entities based on technical and fundamental data