Correlation Between C Bond and CN Energy
Can any of the company-specific risk be diversified away by investing in both C Bond and CN 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 C Bond and CN Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between C Bond Systems and CN Energy Group, you can compare the effects of market volatilities on C Bond and CN 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 C Bond with a short position of CN Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of C Bond and CN Energy.
Diversification Opportunities for C Bond and CN Energy
Weak diversification
The 3 months correlation between CBNT and CNEY is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding C Bond Systems and CN Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CN Energy Group and C Bond 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 C Bond Systems are associated (or correlated) with CN Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CN Energy Group has no effect on the direction of C Bond i.e., C Bond and CN Energy go up and down completely randomly.
Pair Corralation between C Bond and CN Energy
Given the investment horizon of 90 days C Bond Systems is expected to under-perform the CN Energy. But the pink sheet apears to be less risky and, when comparing its historical volatility, C Bond Systems is 1.55 times less risky than CN Energy. The pink sheet trades about -0.32 of its potential returns per unit of risk. The CN Energy Group is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 46.00 in CN Energy Group on September 6, 2024 and sell it today you would lose (11.00) from holding CN Energy Group or give up 23.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
C Bond Systems vs. CN Energy Group
Performance |
Timeline |
C Bond Systems |
CN Energy Group |
C Bond and CN Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with C Bond and CN Energy
The main advantage of trading using opposite C Bond and CN Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if C Bond position performs unexpectedly, CN 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 CN Energy will offset losses from the drop in CN Energy's long position.The idea behind C Bond Systems and CN Energy Group 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.CN Energy vs. SenesTech | CN Energy vs. Danimer Scientific | CN Energy vs. C Bond Systems | CN Energy vs. Coroware |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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