Correlation Between Ceragon Networks and Ninepoint Bitcoin
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Ninepoint Bitcoin 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 Ceragon Networks and Ninepoint Bitcoin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Ninepoint Bitcoin ETF, you can compare the effects of market volatilities on Ceragon Networks and Ninepoint Bitcoin 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 Ceragon Networks with a short position of Ninepoint Bitcoin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Ninepoint Bitcoin.
Diversification Opportunities for Ceragon Networks and Ninepoint Bitcoin
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ceragon and Ninepoint is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Ninepoint Bitcoin ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ninepoint Bitcoin ETF and Ceragon Networks 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 Ceragon Networks are associated (or correlated) with Ninepoint Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ninepoint Bitcoin ETF has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Ninepoint Bitcoin go up and down completely randomly.
Pair Corralation between Ceragon Networks and Ninepoint Bitcoin
Given the investment horizon of 90 days Ceragon Networks is expected to generate 1.94 times more return on investment than Ninepoint Bitcoin. However, Ceragon Networks is 1.94 times more volatile than Ninepoint Bitcoin ETF. It trades about 0.34 of its potential returns per unit of risk. Ninepoint Bitcoin ETF is currently generating about 0.32 per unit of risk. If you would invest 252.00 in Ceragon Networks on September 3, 2024 and sell it today you would earn a total of 202.00 from holding Ceragon Networks or generate 80.16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 97.62% |
| Values | Daily Returns |
Ceragon Networks vs. Ninepoint Bitcoin ETF
Performance |
| Timeline |
| Ceragon Networks |
| Ninepoint Bitcoin ETF |
Ceragon Networks and Ninepoint Bitcoin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ceragon Networks and Ninepoint Bitcoin
The main advantage of trading using opposite Ceragon Networks and Ninepoint Bitcoin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Ninepoint Bitcoin 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 Ninepoint Bitcoin will offset losses from the drop in Ninepoint Bitcoin's long position.| Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
| Ninepoint Bitcoin vs. Ninepoint Energy | Ninepoint Bitcoin vs. Ninepoint Bitcoin ETF | Ninepoint Bitcoin vs. Ninepoint Web3 Innovators | Ninepoint Bitcoin vs. Ninepoint Energy Income |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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