Correlation Between QEP Resources and SM Energy

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

Diversification Opportunities for QEP Resources and SM Energy

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between QEP and SM Energy is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding QEP Resources and SM Energy Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SM Energy and QEP Resources 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 QEP Resources are associated (or correlated) with SM Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SM Energy has no effect on the direction of QEP Resources i.e., QEP Resources and SM Energy go up and down completely randomly.

Pair Corralation between QEP Resources and SM Energy

If you would invest  4,947  in SM Energy Co on January 25, 2024 and sell it today you would earn a total of  34.00  from holding SM Energy Co or generate 0.69% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

QEP Resources  vs.  SM Energy Co

 Performance 
       Timeline  
QEP Resources 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days QEP Resources has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable technical and fundamental indicators, QEP Resources is not utilizing all of its potentials. The newest stock price agitation, may contribute to short-term losses for the retail investors.
SM Energy 

Risk-Adjusted Performance

22 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in SM Energy Co are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. In spite of very unsteady primary indicators, SM Energy displayed solid returns over the last few months and may actually be approaching a breakup point.

QEP Resources and SM Energy Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with QEP Resources and SM Energy

The main advantage of trading using opposite QEP Resources and SM Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QEP Resources position performs unexpectedly, SM Energy 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 SM Energy will offset losses from the drop in SM Energy's long position.
The idea behind QEP Resources and SM Energy Co 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Other Complementary Tools

Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
CEOs Directory
Screen CEOs from public companies around the world
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk