Correlation Between Tengda Construction and Heilongjiang Agriculture

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

Diversification Opportunities for Tengda Construction and Heilongjiang Agriculture

0.57
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Tengda and Heilongjiang is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Tengda Construction Group and Heilongjiang Agriculture Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heilongjiang Agriculture and Tengda Construction 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 Tengda Construction Group are associated (or correlated) with Heilongjiang Agriculture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heilongjiang Agriculture has no effect on the direction of Tengda Construction i.e., Tengda Construction and Heilongjiang Agriculture go up and down completely randomly.

Pair Corralation between Tengda Construction and Heilongjiang Agriculture

Assuming the 90 days trading horizon Tengda Construction Group is expected to under-perform the Heilongjiang Agriculture. In addition to that, Tengda Construction is 1.12 times more volatile than Heilongjiang Agriculture Co. It trades about -0.13 of its total potential returns per unit of risk. Heilongjiang Agriculture Co is currently generating about -0.12 per unit of volatility. If you would invest  1,475  in Heilongjiang Agriculture Co on November 1, 2024 and sell it today you would lose (52.00) from holding Heilongjiang Agriculture Co or give up 3.53% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Tengda Construction Group  vs.  Heilongjiang Agriculture Co

 Performance 
       Timeline  
Tengda Construction 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Tengda Construction Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Tengda Construction is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Heilongjiang Agriculture 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Heilongjiang Agriculture Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Tengda Construction and Heilongjiang Agriculture Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Tengda Construction and Heilongjiang Agriculture

The main advantage of trading using opposite Tengda Construction and Heilongjiang Agriculture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tengda Construction position performs unexpectedly, Heilongjiang Agriculture 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 Heilongjiang Agriculture will offset losses from the drop in Heilongjiang Agriculture's long position.
The idea behind Tengda Construction Group and Heilongjiang Agriculture Co 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

Other Complementary Tools

Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets