Correlation Between SunHydrogen and Xinyi Solar

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

Diversification Opportunities for SunHydrogen and Xinyi Solar

SunHydrogenXinyiDiversified AwaySunHydrogenXinyiDiversified Away100%
-0.24
  Correlation Coefficient

Very good diversification

The 3 months correlation between SunHydrogen and Xinyi is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding SunHydrogen and Xinyi Solar Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinyi Solar Holdings and SunHydrogen 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 SunHydrogen are associated (or correlated) with Xinyi Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinyi Solar Holdings has no effect on the direction of SunHydrogen i.e., SunHydrogen and Xinyi Solar go up and down completely randomly.

Pair Corralation between SunHydrogen and Xinyi Solar

Given the investment horizon of 90 days SunHydrogen is expected to under-perform the Xinyi Solar. But the pink sheet apears to be less risky and, when comparing its historical volatility, SunHydrogen is 1.19 times less risky than Xinyi Solar. The pink sheet trades about -0.52 of its potential returns per unit of risk. The Xinyi Solar Holdings is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest  40.00  in Xinyi Solar Holdings on December 10, 2024 and sell it today you would earn a total of  3.00  from holding Xinyi Solar Holdings or generate 7.5% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy95.24%
ValuesDaily Returns

SunHydrogen  vs.  Xinyi Solar Holdings

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -1001020304050
JavaScript chart by amCharts 3.21.15HYSR XNYIF
       Timeline  
SunHydrogen 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days SunHydrogen has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, SunHydrogen is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar0.020.0220.0240.0260.0280.030.032
Xinyi Solar Holdings 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Xinyi Solar Holdings has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable forward indicators, Xinyi Solar is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar0.370.380.390.40.410.420.430.440.45

SunHydrogen and Xinyi Solar Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-18.52-13.87-9.22-4.570.04.649.4414.2519.0523.85 0.0100.0150.0200.025
JavaScript chart by amCharts 3.21.15HYSR XNYIF
       Returns  

Pair Trading with SunHydrogen and Xinyi Solar

The main advantage of trading using opposite SunHydrogen and Xinyi Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SunHydrogen position performs unexpectedly, Xinyi Solar 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 Xinyi Solar will offset losses from the drop in Xinyi Solar's long position.
The idea behind SunHydrogen and Xinyi Solar Holdings 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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

Other Complementary Tools

Content Syndication
Quickly integrate customizable finance content to your own investment portal
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios