Correlation Between Suzlon Energy and Newgen Software

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

Diversification Opportunities for Suzlon Energy and Newgen Software

0.18
  Correlation Coefficient

Average diversification

The 3 months correlation between Suzlon and Newgen is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Suzlon Energy Limited and Newgen Software Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newgen Software Tech and Suzlon Energy 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 Suzlon Energy Limited are associated (or correlated) with Newgen Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newgen Software Tech has no effect on the direction of Suzlon Energy i.e., Suzlon Energy and Newgen Software go up and down completely randomly.

Pair Corralation between Suzlon Energy and Newgen Software

Assuming the 90 days trading horizon Suzlon Energy is expected to generate 1.12 times less return on investment than Newgen Software. But when comparing it to its historical volatility, Suzlon Energy Limited is 1.11 times less risky than Newgen Software. It trades about 0.09 of its potential returns per unit of risk. Newgen Software Technologies is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  86,700  in Newgen Software Technologies on September 2, 2024 and sell it today you would earn a total of  31,350  from holding Newgen Software Technologies or generate 36.16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Suzlon Energy Limited  vs.  Newgen Software Technologies

 Performance 
       Timeline  
Suzlon Energy Limited 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Suzlon Energy Limited has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's essential indicators remain somewhat strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the company investors.
Newgen Software Tech 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Newgen Software Technologies are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain technical and fundamental indicators, Newgen Software sustained solid returns over the last few months and may actually be approaching a breakup point.

Suzlon Energy and Newgen Software Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Suzlon Energy and Newgen Software

The main advantage of trading using opposite Suzlon Energy and Newgen Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzlon Energy position performs unexpectedly, Newgen Software 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 Newgen Software will offset losses from the drop in Newgen Software's long position.
The idea behind Suzlon Energy Limited and Newgen Software Technologies 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 Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

Other Complementary Tools

Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm