Correlation Between NYSE Composite and PrimeEnergy

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

Diversification Opportunities for NYSE Composite and PrimeEnergy

0.87
  Correlation Coefficient

Very poor diversification

The 3 months correlation between NYSE and PrimeEnergy is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and PrimeEnergy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PrimeEnergy and NYSE Composite 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 NYSE Composite are associated (or correlated) with PrimeEnergy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PrimeEnergy has no effect on the direction of NYSE Composite i.e., NYSE Composite and PrimeEnergy go up and down completely randomly.
    Optimize

Pair Corralation between NYSE Composite and PrimeEnergy

Assuming the 90 days trading horizon NYSE Composite is expected to generate 7.47 times less return on investment than PrimeEnergy. But when comparing it to its historical volatility, NYSE Composite is 5.25 times less risky than PrimeEnergy. It trades about 0.16 of its potential returns per unit of risk. PrimeEnergy is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest  12,850  in PrimeEnergy on September 3, 2024 and sell it today you would earn a total of  6,950  from holding PrimeEnergy or generate 54.09% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  PrimeEnergy

 Performance 
       Timeline  

NYSE Composite and PrimeEnergy Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and PrimeEnergy

The main advantage of trading using opposite NYSE Composite and PrimeEnergy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, PrimeEnergy 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 PrimeEnergy will offset losses from the drop in PrimeEnergy's long position.
The idea behind NYSE Composite and PrimeEnergy 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Complementary Tools

Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Transaction History
View history of all your transactions and understand their impact on performance
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk