Correlation Between Sanginita Chemicals and Styrenix Performance

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

Diversification Opportunities for Sanginita Chemicals and Styrenix Performance

0.13
  Correlation Coefficient

Average diversification

The 3 months correlation between Sanginita and Styrenix is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Sanginita Chemicals Limited and Styrenix Performance Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Styrenix Performance and Sanginita Chemicals 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 Sanginita Chemicals Limited are associated (or correlated) with Styrenix Performance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Styrenix Performance has no effect on the direction of Sanginita Chemicals i.e., Sanginita Chemicals and Styrenix Performance go up and down completely randomly.

Pair Corralation between Sanginita Chemicals and Styrenix Performance

Assuming the 90 days trading horizon Sanginita Chemicals is expected to generate 51.49 times less return on investment than Styrenix Performance. But when comparing it to its historical volatility, Sanginita Chemicals Limited is 1.17 times less risky than Styrenix Performance. It trades about 0.01 of its potential returns per unit of risk. Styrenix Performance Materials is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  244,036  in Styrenix Performance Materials on September 22, 2024 and sell it today you would earn a total of  54,529  from holding Styrenix Performance Materials or generate 22.34% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Sanginita Chemicals Limited  vs.  Styrenix Performance Materials

 Performance 
       Timeline  
Sanginita Chemicals 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Sanginita Chemicals Limited has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong forward indicators, Sanginita Chemicals is not utilizing all of its potentials. The newest stock price confusion, may contribute to short-horizon losses for the traders.
Styrenix Performance 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Styrenix Performance Materials are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite fairly unfluctuating basic indicators, Styrenix Performance demonstrated solid returns over the last few months and may actually be approaching a breakup point.

Sanginita Chemicals and Styrenix Performance Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sanginita Chemicals and Styrenix Performance

The main advantage of trading using opposite Sanginita Chemicals and Styrenix Performance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanginita Chemicals position performs unexpectedly, Styrenix Performance 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 Styrenix Performance will offset losses from the drop in Styrenix Performance's long position.
The idea behind Sanginita Chemicals Limited and Styrenix Performance Materials 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

Other Complementary Tools

Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Stocks Directory
Find actively traded stocks across global markets
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation