Correlation Between Nasdaq and CN Energy
Can any of the company-specific risk be diversified away by investing in both Nasdaq 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 Nasdaq and CN Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq Inc and CN Energy Group, you can compare the effects of market volatilities on Nasdaq 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 Nasdaq with a short position of CN Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq and CN Energy.
Diversification Opportunities for Nasdaq and CN Energy
Pay attention - limited upside
The 3 months correlation between Nasdaq and CNEY is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq Inc 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 Nasdaq 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 Nasdaq Inc 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 Nasdaq i.e., Nasdaq and CN Energy go up and down completely randomly.
Pair Corralation between Nasdaq and CN Energy
Given the investment horizon of 90 days Nasdaq is expected to generate 2.25 times less return on investment than CN Energy. But when comparing it to its historical volatility, Nasdaq Inc is 15.48 times less risky than CN Energy. It trades about 0.15 of its potential returns per unit of risk. CN Energy Group is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 48.00 in CN Energy Group on September 15, 2024 and sell it today you would lose (16.00) from holding CN Energy Group or give up 33.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nasdaq Inc vs. CN Energy Group
Performance |
Timeline |
Nasdaq Inc |
CN Energy Group |
Nasdaq and CN Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq and CN Energy
The main advantage of trading using opposite Nasdaq and CN Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq 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 Nasdaq Inc 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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