Correlation Between China Petrochemical and First Copper

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

Diversification Opportunities for China Petrochemical and First Copper

0.75
  Correlation Coefficient

Poor diversification

The 3 months correlation between China and First is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding China Petrochemical Developmen and First Copper Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Copper Technology and China Petrochemical 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 China Petrochemical Development are associated (or correlated) with First Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Copper Technology has no effect on the direction of China Petrochemical i.e., China Petrochemical and First Copper go up and down completely randomly.

Pair Corralation between China Petrochemical and First Copper

Assuming the 90 days trading horizon China Petrochemical is expected to generate 1.81 times less return on investment than First Copper. But when comparing it to its historical volatility, China Petrochemical Development is 1.71 times less risky than First Copper. It trades about 0.03 of its potential returns per unit of risk. First Copper Technology is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  3,950  in First Copper Technology on December 4, 2024 and sell it today you would earn a total of  140.00  from holding First Copper Technology or generate 3.54% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.21%
ValuesDaily Returns

China Petrochemical Developmen  vs.  First Copper Technology

 Performance 
       Timeline  
China Petrochemical 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in China Petrochemical Development are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, China Petrochemical is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.
First Copper Technology 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in First Copper Technology are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, First Copper is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

China Petrochemical and First Copper Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with China Petrochemical and First Copper

The main advantage of trading using opposite China Petrochemical and First Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Petrochemical position performs unexpectedly, First Copper 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 First Copper will offset losses from the drop in First Copper's long position.
The idea behind China Petrochemical Development and First Copper 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

Other Complementary Tools

Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm