Correlation Between New America and Carbon Streaming
Can any of the company-specific risk be diversified away by investing in both New America and Carbon Streaming 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 New America and Carbon Streaming into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New America High and Carbon Streaming Corp, you can compare the effects of market volatilities on New America and Carbon Streaming 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 New America with a short position of Carbon Streaming. Check out your portfolio center. Please also check ongoing floating volatility patterns of New America and Carbon Streaming.
Diversification Opportunities for New America and Carbon Streaming
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between New and Carbon is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding New America High and Carbon Streaming Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carbon Streaming Corp and New America 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 New America High are associated (or correlated) with Carbon Streaming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carbon Streaming Corp has no effect on the direction of New America i.e., New America and Carbon Streaming go up and down completely randomly.
Pair Corralation between New America and Carbon Streaming
Considering the 90-day investment horizon New America High is expected to under-perform the Carbon Streaming. But the etf apears to be less risky and, when comparing its historical volatility, New America High is 10.98 times less risky than Carbon Streaming. The etf trades about -0.14 of its potential returns per unit of risk. The Carbon Streaming Corp is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 31.00 in Carbon Streaming Corp on September 21, 2024 and sell it today you would earn a total of 2.00 from holding Carbon Streaming Corp or generate 6.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
New America High vs. Carbon Streaming Corp
Performance |
Timeline |
New America High |
Carbon Streaming Corp |
New America and Carbon Streaming Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New America and Carbon Streaming
The main advantage of trading using opposite New America and Carbon Streaming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New America position performs unexpectedly, Carbon Streaming 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 Carbon Streaming will offset losses from the drop in Carbon Streaming's long position.New America vs. Pioneer Municipal High | New America vs. DWS Municipal Income | New America vs. RiverNorth Specialty Finance | New America vs. Putnam Managed Municipal |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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