Correlation Between Carnegie Clean and Wind Works

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

Diversification Opportunities for Carnegie Clean and Wind Works

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Carnegie Clean and Wind Works

If you would invest  2.65  in Carnegie Clean Energy on November 4, 2024 and sell it today you would lose (0.65) from holding Carnegie Clean Energy or give up 24.53% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy97.5%
ValuesDaily Returns

Carnegie Clean Energy  vs.  Wind Works Power

 Performance 
       Timeline  
Carnegie Clean Energy 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Carnegie Clean Energy are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Carnegie Clean reported solid returns over the last few months and may actually be approaching a breakup point.
Wind Works Power 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Wind Works Power has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Wind Works is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Carnegie Clean and Wind Works Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Carnegie Clean and Wind Works

The main advantage of trading using opposite Carnegie Clean and Wind Works positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, Wind Works 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 Wind Works will offset losses from the drop in Wind Works' long position.
The idea behind Carnegie Clean Energy and Wind Works Power 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.
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

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