Correlation Between Hoshine Silicon and Xiangtan Electrochemical

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

Diversification Opportunities for Hoshine Silicon and Xiangtan Electrochemical

0.89
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Hoshine and Xiangtan is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Hoshine Silicon Ind and Xiangtan Electrochemical Scien in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xiangtan Electrochemical and Hoshine Silicon 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 Hoshine Silicon Ind are associated (or correlated) with Xiangtan Electrochemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xiangtan Electrochemical has no effect on the direction of Hoshine Silicon i.e., Hoshine Silicon and Xiangtan Electrochemical go up and down completely randomly.

Pair Corralation between Hoshine Silicon and Xiangtan Electrochemical

Assuming the 90 days trading horizon Hoshine Silicon Ind is expected to under-perform the Xiangtan Electrochemical. But the stock apears to be less risky and, when comparing its historical volatility, Hoshine Silicon Ind is 1.21 times less risky than Xiangtan Electrochemical. The stock trades about -0.01 of its potential returns per unit of risk. The Xiangtan Electrochemical Scientific is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  1,174  in Xiangtan Electrochemical Scientific on September 2, 2024 and sell it today you would lose (15.00) from holding Xiangtan Electrochemical Scientific or give up 1.28% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Hoshine Silicon Ind  vs.  Xiangtan Electrochemical Scien

 Performance 
       Timeline  
Hoshine Silicon Ind 

Risk-Adjusted Performance

7 of 100

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

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Xiangtan Electrochemical Scientific are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Xiangtan Electrochemical sustained solid returns over the last few months and may actually be approaching a breakup point.

Hoshine Silicon and Xiangtan Electrochemical Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Hoshine Silicon and Xiangtan Electrochemical

The main advantage of trading using opposite Hoshine Silicon and Xiangtan Electrochemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hoshine Silicon position performs unexpectedly, Xiangtan Electrochemical 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 Xiangtan Electrochemical will offset losses from the drop in Xiangtan Electrochemical's long position.
The idea behind Hoshine Silicon Ind and Xiangtan Electrochemical Scientific 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

Other Complementary Tools

Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm