Correlation Between Sichuan Furong and Zhongrun Resources

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

Diversification Opportunities for Sichuan Furong and Zhongrun Resources

-0.25
  Correlation Coefficient

Very good diversification

The 3 months correlation between Sichuan and Zhongrun is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Sichuan Furong Technology and Zhongrun Resources Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhongrun Resources and Sichuan Furong 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 Sichuan Furong Technology are associated (or correlated) with Zhongrun Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhongrun Resources has no effect on the direction of Sichuan Furong i.e., Sichuan Furong and Zhongrun Resources go up and down completely randomly.

Pair Corralation between Sichuan Furong and Zhongrun Resources

Assuming the 90 days trading horizon Sichuan Furong Technology is expected to generate 11.31 times more return on investment than Zhongrun Resources. However, Sichuan Furong is 11.31 times more volatile than Zhongrun Resources Investment. It trades about 0.04 of its potential returns per unit of risk. Zhongrun Resources Investment is currently generating about 0.03 per unit of risk. If you would invest  1,202  in Sichuan Furong Technology on October 16, 2024 and sell it today you would lose (70.00) from holding Sichuan Furong Technology or give up 5.82% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy99.79%
ValuesDaily Returns

Sichuan Furong Technology  vs.  Zhongrun Resources Investment

 Performance 
       Timeline  
Sichuan Furong Technology 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Sichuan Furong Technology has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long term up-swing for the company investors.
Zhongrun Resources 

Risk-Adjusted Performance

29 of 100

 
Weak
 
Strong
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Zhongrun Resources Investment are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Zhongrun Resources sustained solid returns over the last few months and may actually be approaching a breakup point.

Sichuan Furong and Zhongrun Resources Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sichuan Furong and Zhongrun Resources

The main advantage of trading using opposite Sichuan Furong and Zhongrun Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sichuan Furong position performs unexpectedly, Zhongrun Resources 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 Zhongrun Resources will offset losses from the drop in Zhongrun Resources' long position.
The idea behind Sichuan Furong Technology and Zhongrun Resources Investment 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

Other Complementary Tools

Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets