Correlation Between Carnegie Clean and STMICROELECTRONICS
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and STMICROELECTRONICS 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 STMICROELECTRONICS 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 STMICROELECTRONICS, you can compare the effects of market volatilities on Carnegie Clean and STMICROELECTRONICS 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 STMICROELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and STMICROELECTRONICS.
Diversification Opportunities for Carnegie Clean and STMICROELECTRONICS
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Carnegie and STMICROELECTRONICS is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and STMICROELECTRONICS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMICROELECTRONICS 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 STMICROELECTRONICS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMICROELECTRONICS has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and STMICROELECTRONICS go up and down completely randomly.
Pair Corralation between Carnegie Clean and STMICROELECTRONICS
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 2.02 times more return on investment than STMICROELECTRONICS. However, Carnegie Clean is 2.02 times more volatile than STMICROELECTRONICS. It trades about 0.17 of its potential returns per unit of risk. STMICROELECTRONICS is currently generating about 0.3 per unit of risk. If you would invest 1.70 in Carnegie Clean Energy on April 22, 2025 and sell it today you would earn a total of 1.02 from holding Carnegie Clean Energy or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. STMICROELECTRONICS
Performance |
Timeline |
Carnegie Clean Energy |
STMICROELECTRONICS |
Carnegie Clean and STMICROELECTRONICS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and STMICROELECTRONICS
The main advantage of trading using opposite Carnegie Clean and STMICROELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, STMICROELECTRONICS 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 STMICROELECTRONICS will offset losses from the drop in STMICROELECTRONICS's long position.Carnegie Clean vs. Datalogic SpA | Carnegie Clean vs. DATANG INTL POW | Carnegie Clean vs. DATATEC LTD 2 | Carnegie Clean vs. DICKER DATA LTD |
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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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