Correlation Between Zhengzhou Coal and Guangdong Silvere

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

Diversification Opportunities for Zhengzhou Coal and Guangdong Silvere

0.73
  Correlation Coefficient

Poor diversification

The 3 months correlation between Zhengzhou and Guangdong is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Zhengzhou Coal Mining and Guangdong Silvere Sci in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangdong Silvere Sci and Zhengzhou Coal 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 Zhengzhou Coal Mining are associated (or correlated) with Guangdong Silvere. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangdong Silvere Sci has no effect on the direction of Zhengzhou Coal i.e., Zhengzhou Coal and Guangdong Silvere go up and down completely randomly.

Pair Corralation between Zhengzhou Coal and Guangdong Silvere

Assuming the 90 days trading horizon Zhengzhou Coal Mining is expected to under-perform the Guangdong Silvere. But the stock apears to be less risky and, when comparing its historical volatility, Zhengzhou Coal Mining is 1.75 times less risky than Guangdong Silvere. The stock trades about -0.02 of its potential returns per unit of risk. The Guangdong Silvere Sci is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  626.00  in Guangdong Silvere Sci on September 21, 2024 and sell it today you would earn a total of  20.00  from holding Guangdong Silvere Sci or generate 3.19% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Zhengzhou Coal Mining  vs.  Guangdong Silvere Sci

 Performance 
       Timeline  
Zhengzhou Coal Mining 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Zhengzhou Coal Mining are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Zhengzhou Coal sustained solid returns over the last few months and may actually be approaching a breakup point.
Guangdong Silvere Sci 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Guangdong Silvere Sci are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Guangdong Silvere sustained solid returns over the last few months and may actually be approaching a breakup point.

Zhengzhou Coal and Guangdong Silvere Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Zhengzhou Coal and Guangdong Silvere

The main advantage of trading using opposite Zhengzhou Coal and Guangdong Silvere positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhengzhou Coal position performs unexpectedly, Guangdong Silvere 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 Guangdong Silvere will offset losses from the drop in Guangdong Silvere's long position.
The idea behind Zhengzhou Coal Mining and Guangdong Silvere Sci 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Complementary Tools

Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets