Correlation Between Carnegie Clean and Townsquare Media
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and Townsquare Media 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 Townsquare Media 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 Townsquare Media, you can compare the effects of market volatilities on Carnegie Clean and Townsquare Media 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 Townsquare Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and Townsquare Media.
Diversification Opportunities for Carnegie Clean and Townsquare Media
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Carnegie and Townsquare is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and Townsquare Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Townsquare Media 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 Townsquare Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Townsquare Media has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and Townsquare Media go up and down completely randomly.
Pair Corralation between Carnegie Clean and Townsquare Media
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 2.3 times more return on investment than Townsquare Media. However, Carnegie Clean is 2.3 times more volatile than Townsquare Media. It trades about -0.02 of its potential returns per unit of risk. Townsquare Media is currently generating about -0.14 per unit of risk. If you would invest 2.18 in Carnegie Clean Energy on December 23, 2024 and sell it today you would lose (0.30) from holding Carnegie Clean Energy or give up 13.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. Townsquare Media
Performance |
Timeline |
Carnegie Clean Energy |
Townsquare Media |
Carnegie Clean and Townsquare Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and Townsquare Media
The main advantage of trading using opposite Carnegie Clean and Townsquare Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, Townsquare Media 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 Townsquare Media will offset losses from the drop in Townsquare Media's long position.Carnegie Clean vs. Hellenic Telecommunications Organization | Carnegie Clean vs. Eurasia Mining Plc | Carnegie Clean vs. Harmony Gold Mining | Carnegie Clean vs. Charter Communications |
Townsquare Media vs. Gold Road Resources | Townsquare Media vs. National Retail Properties | Townsquare Media vs. Retail Estates NV | Townsquare Media vs. GOLD ROAD RES |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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