Correlation Between Ceragon Networks and Kawan Food
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Kawan Food 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 Kawan Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Kawan Food Bhd, you can compare the effects of market volatilities on Ceragon Networks and Kawan Food 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 Kawan Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Kawan Food.
Diversification Opportunities for Ceragon Networks and Kawan Food
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ceragon and Kawan is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Kawan Food Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kawan Food Bhd 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 Kawan Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kawan Food Bhd has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Kawan Food go up and down completely randomly.
Pair Corralation between Ceragon Networks and Kawan Food
Given the investment horizon of 90 days Ceragon Networks is expected to generate 3.69 times more return on investment than Kawan Food. However, Ceragon Networks is 3.69 times more volatile than Kawan Food Bhd. It trades about 0.19 of its potential returns per unit of risk. Kawan Food Bhd is currently generating about 0.01 per unit of risk. If you would invest 294.00 in Ceragon Networks on September 3, 2024 and sell it today you would earn a total of 160.00 from holding Ceragon Networks or generate 54.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Ceragon Networks vs. Kawan Food Bhd
Performance |
Timeline |
Ceragon Networks |
Kawan Food Bhd |
Ceragon Networks and Kawan Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Kawan Food
The main advantage of trading using opposite Ceragon Networks and Kawan Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Kawan Food 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 Kawan Food will offset losses from the drop in Kawan Food's long position.Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
Kawan Food vs. British American Tobacco | Kawan Food vs. FARM FRESH BERHAD | Kawan Food vs. Apollo Food Holdings | Kawan Food vs. Oriental Food Industries |
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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