Correlation Between Global Knafaim and Clal Industries
Can any of the company-specific risk be diversified away by investing in both Global Knafaim and Clal 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 Global Knafaim and Clal Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Knafaim Leasing and Clal Industries and, you can compare the effects of market volatilities on Global Knafaim and Clal 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 Global Knafaim with a short position of Clal Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Knafaim and Clal Industries.
Diversification Opportunities for Global Knafaim and Clal Industries
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Global and Clal is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Global Knafaim Leasing and Clal Industries and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clal Industries and Global Knafaim 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 Global Knafaim Leasing are associated (or correlated) with Clal Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clal Industries has no effect on the direction of Global Knafaim i.e., Global Knafaim and Clal Industries go up and down completely randomly.
Pair Corralation between Global Knafaim and Clal Industries
Assuming the 90 days trading horizon Global Knafaim Leasing is expected to generate 0.71 times more return on investment than Clal Industries. However, Global Knafaim Leasing is 1.41 times less risky than Clal Industries. It trades about 0.05 of its potential returns per unit of risk. Clal Industries and is currently generating about -0.04 per unit of risk. If you would invest 8,100 in Global Knafaim Leasing on October 9, 2024 and sell it today you would earn a total of 90.00 from holding Global Knafaim Leasing or generate 1.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 94.12% |
Values | Daily Returns |
Global Knafaim Leasing vs. Clal Industries and
Performance |
Timeline |
Global Knafaim Leasing |
Clal Industries |
Global Knafaim and Clal Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Knafaim and Clal Industries
The main advantage of trading using opposite Global Knafaim and Clal Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Knafaim position performs unexpectedly, Clal 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 Clal Industries will offset losses from the drop in Clal Industries' long position.Global Knafaim vs. EN Shoham Business | Global Knafaim vs. Suny Cellular Communication | Global Knafaim vs. Rani Zim Shopping | Global Knafaim vs. Tadiran Hldg |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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