Correlation Between Designer Brands and Clean Energy

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

Diversification Opportunities for Designer Brands and Clean Energy

0.83
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Designer and Clean is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Designer Brands and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and Designer Brands 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 Designer Brands are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of Designer Brands i.e., Designer Brands and Clean Energy go up and down completely randomly.

Pair Corralation between Designer Brands and Clean Energy

Assuming the 90 days horizon Designer Brands is expected to under-perform the Clean Energy. But the stock apears to be less risky and, when comparing its historical volatility, Designer Brands is 1.19 times less risky than Clean Energy. The stock trades about -0.15 of its potential returns per unit of risk. The Clean Energy Fuels is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest  246.00  in Clean Energy Fuels on December 21, 2024 and sell it today you would lose (77.00) from holding Clean Energy Fuels or give up 31.3% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Designer Brands  vs.  Clean Energy Fuels

 Performance 
       Timeline  
Designer Brands 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Designer Brands has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.
Clean Energy Fuels 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Clean Energy Fuels has generated negative risk-adjusted returns adding no value to investors with long positions. Despite uncertain performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Designer Brands and Clean Energy Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Designer Brands and Clean Energy

The main advantage of trading using opposite Designer Brands and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Designer Brands position performs unexpectedly, Clean 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 Clean Energy will offset losses from the drop in Clean Energy's long position.
The idea behind Designer Brands and Clean Energy Fuels 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

Other Complementary Tools

Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Money Managers
Screen money managers from public funds and ETFs managed around the world
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
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