Correlation Between Liaoning Dingjide and Gansu Huangtai

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

Diversification Opportunities for Liaoning Dingjide and Gansu Huangtai

0.8
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Liaoning and Gansu is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Liaoning Dingjide Petrochemica and Gansu Huangtai Wine marketing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gansu Huangtai Wine and Liaoning Dingjide 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 Liaoning Dingjide Petrochemical are associated (or correlated) with Gansu Huangtai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gansu Huangtai Wine has no effect on the direction of Liaoning Dingjide i.e., Liaoning Dingjide and Gansu Huangtai go up and down completely randomly.

Pair Corralation between Liaoning Dingjide and Gansu Huangtai

Assuming the 90 days trading horizon Liaoning Dingjide is expected to generate 2.03 times less return on investment than Gansu Huangtai. But when comparing it to its historical volatility, Liaoning Dingjide Petrochemical is 1.42 times less risky than Gansu Huangtai. It trades about 0.1 of its potential returns per unit of risk. Gansu Huangtai Wine marketing is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  1,203  in Gansu Huangtai Wine marketing on September 26, 2024 and sell it today you would earn a total of  471.00  from holding Gansu Huangtai Wine marketing or generate 39.15% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy98.33%
ValuesDaily Returns

Liaoning Dingjide Petrochemica  vs.  Gansu Huangtai Wine marketing

 Performance 
       Timeline  
Liaoning Dingjide 

Risk-Adjusted Performance

7 of 100

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

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Gansu Huangtai Wine marketing are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Gansu Huangtai sustained solid returns over the last few months and may actually be approaching a breakup point.

Liaoning Dingjide and Gansu Huangtai Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Liaoning Dingjide and Gansu Huangtai

The main advantage of trading using opposite Liaoning Dingjide and Gansu Huangtai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Liaoning Dingjide position performs unexpectedly, Gansu Huangtai 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 Gansu Huangtai will offset losses from the drop in Gansu Huangtai's long position.
The idea behind Liaoning Dingjide Petrochemical and Gansu Huangtai Wine marketing 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Complementary Tools

AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm