Correlation Between Ceragon Networks and Asiaplast Industries
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Asiaplast Industries 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 Asiaplast Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Asiaplast Industries Tbk, you can compare the effects of market volatilities on Ceragon Networks and Asiaplast Industries 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 Asiaplast Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Asiaplast Industries.
Diversification Opportunities for Ceragon Networks and Asiaplast Industries
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ceragon and Asiaplast is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Asiaplast Industries Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asiaplast Industries Tbk 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 Asiaplast Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asiaplast Industries Tbk has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Asiaplast Industries go up and down completely randomly.
Pair Corralation between Ceragon Networks and Asiaplast Industries
Given the investment horizon of 90 days Ceragon Networks is expected to under-perform the Asiaplast Industries. In addition to that, Ceragon Networks is 1.68 times more volatile than Asiaplast Industries Tbk. It trades about -0.18 of its total potential returns per unit of risk. Asiaplast Industries Tbk is currently generating about 0.03 per unit of volatility. If you would invest 54,500 in Asiaplast Industries Tbk on December 30, 2024 and sell it today you would earn a total of 1,500 from holding Asiaplast Industries Tbk or generate 2.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 96.77% |
Values | Daily Returns |
Ceragon Networks vs. Asiaplast Industries Tbk
Performance |
Timeline |
Ceragon Networks |
Asiaplast Industries Tbk |
Ceragon Networks and Asiaplast Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Asiaplast Industries
The main advantage of trading using opposite Ceragon Networks and Asiaplast Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Asiaplast Industries 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 Asiaplast Industries will offset losses from the drop in Asiaplast Industries' 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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