Correlation Between Ceragon Networks and Guggenheim Market
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Guggenheim Market 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 Guggenheim Market into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Guggenheim Market Neutral, you can compare the effects of market volatilities on Ceragon Networks and Guggenheim Market 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 Guggenheim Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Guggenheim Market.
Diversification Opportunities for Ceragon Networks and Guggenheim Market
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ceragon and Guggenheim is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Guggenheim Market Neutral in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Market Neutral 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 Guggenheim Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Market Neutral has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Guggenheim Market go up and down completely randomly.
Pair Corralation between Ceragon Networks and Guggenheim Market
Given the investment horizon of 90 days Ceragon Networks is expected to generate 41.06 times more return on investment than Guggenheim Market. However, Ceragon Networks is 41.06 times more volatile than Guggenheim Market Neutral. It trades about 0.48 of its potential returns per unit of risk. Guggenheim Market Neutral is currently generating about -0.02 per unit of risk. If you would invest 245.00 in Ceragon Networks on September 6, 2024 and sell it today you would earn a total of 192.00 from holding Ceragon Networks or generate 78.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ceragon Networks vs. Guggenheim Market Neutral
Performance |
Timeline |
Ceragon Networks |
Guggenheim Market Neutral |
Ceragon Networks and Guggenheim Market Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Guggenheim Market
The main advantage of trading using opposite Ceragon Networks and Guggenheim Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Guggenheim Market 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 Guggenheim Market will offset losses from the drop in Guggenheim Market's long position.Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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