Correlation Between Power Finance and Jindal Poly

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

Diversification Opportunities for Power Finance and Jindal Poly

0.52
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Power and Jindal is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Power Finance and Jindal Poly Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jindal Poly Investment and Power Finance 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 Power Finance are associated (or correlated) with Jindal Poly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jindal Poly Investment has no effect on the direction of Power Finance i.e., Power Finance and Jindal Poly go up and down completely randomly.

Pair Corralation between Power Finance and Jindal Poly

Assuming the 90 days trading horizon Power Finance is expected to under-perform the Jindal Poly. In addition to that, Power Finance is 1.01 times more volatile than Jindal Poly Investment. It trades about -0.23 of its total potential returns per unit of risk. Jindal Poly Investment is currently generating about -0.12 per unit of volatility. If you would invest  92,475  in Jindal Poly Investment on October 6, 2024 and sell it today you would lose (4,245) from holding Jindal Poly Investment or give up 4.59% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.24%
ValuesDaily Returns

Power Finance  vs.  Jindal Poly Investment

 Performance 
       Timeline  
Power Finance 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Power Finance are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain technical and fundamental indicators, Power Finance may actually be approaching a critical reversion point that can send shares even higher in February 2025.
Jindal Poly Investment 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Jindal Poly Investment are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of very uncertain basic indicators, Jindal Poly displayed solid returns over the last few months and may actually be approaching a breakup point.

Power Finance and Jindal Poly Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Power Finance and Jindal Poly

The main advantage of trading using opposite Power Finance and Jindal Poly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Finance position performs unexpectedly, Jindal Poly 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 Jindal Poly will offset losses from the drop in Jindal Poly's long position.
The idea behind Power Finance and Jindal Poly Investment 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Other Complementary Tools

Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated