Correlation Between Wuhan Yangtze and Shenzhen Changfang

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

Diversification Opportunities for Wuhan Yangtze and Shenzhen Changfang

0.89
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Wuhan and Shenzhen is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Wuhan Yangtze Communication and Shenzhen Changfang Light in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Changfang Light and Wuhan Yangtze 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 Wuhan Yangtze Communication are associated (or correlated) with Shenzhen Changfang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Changfang Light has no effect on the direction of Wuhan Yangtze i.e., Wuhan Yangtze and Shenzhen Changfang go up and down completely randomly.

Pair Corralation between Wuhan Yangtze and Shenzhen Changfang

Assuming the 90 days trading horizon Wuhan Yangtze Communication is expected to generate 1.17 times more return on investment than Shenzhen Changfang. However, Wuhan Yangtze is 1.17 times more volatile than Shenzhen Changfang Light. It trades about 0.27 of its potential returns per unit of risk. Shenzhen Changfang Light is currently generating about 0.22 per unit of risk. If you would invest  1,480  in Wuhan Yangtze Communication on September 13, 2024 and sell it today you would earn a total of  1,491  from holding Wuhan Yangtze Communication or generate 100.74% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Wuhan Yangtze Communication  vs.  Shenzhen Changfang Light

 Performance 
       Timeline  
Wuhan Yangtze Commun 

Risk-Adjusted Performance

21 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Wuhan Yangtze Communication are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Wuhan Yangtze sustained solid returns over the last few months and may actually be approaching a breakup point.
Shenzhen Changfang Light 

Risk-Adjusted Performance

17 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Shenzhen Changfang Light are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Shenzhen Changfang sustained solid returns over the last few months and may actually be approaching a breakup point.

Wuhan Yangtze and Shenzhen Changfang Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Wuhan Yangtze and Shenzhen Changfang

The main advantage of trading using opposite Wuhan Yangtze and Shenzhen Changfang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wuhan Yangtze position performs unexpectedly, Shenzhen Changfang 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 Shenzhen Changfang will offset losses from the drop in Shenzhen Changfang's long position.
The idea behind Wuhan Yangtze Communication and Shenzhen Changfang Light 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Complementary Tools

Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk