Correlation Between Israel Shipyards and Israel Land
Can any of the company-specific risk be diversified away by investing in both Israel Shipyards and Israel Land 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 Israel Shipyards and Israel Land into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Israel Shipyards and The Israel Land, you can compare the effects of market volatilities on Israel Shipyards and Israel Land 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 Israel Shipyards with a short position of Israel Land. Check out your portfolio center. Please also check ongoing floating volatility patterns of Israel Shipyards and Israel Land.
Diversification Opportunities for Israel Shipyards and Israel Land
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Israel and Israel is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Israel Shipyards and The Israel Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Israel Land and Israel Shipyards 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 Israel Shipyards are associated (or correlated) with Israel Land. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Israel Land has no effect on the direction of Israel Shipyards i.e., Israel Shipyards and Israel Land go up and down completely randomly.
Pair Corralation between Israel Shipyards and Israel Land
Assuming the 90 days trading horizon Israel Shipyards is expected to generate 4.59 times less return on investment than Israel Land. But when comparing it to its historical volatility, Israel Shipyards is 1.57 times less risky than Israel Land. It trades about 0.02 of its potential returns per unit of risk. The Israel Land is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 56,000 in The Israel Land on September 1, 2024 and sell it today you would earn a total of 28,990 from holding The Israel Land or generate 51.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Israel Shipyards vs. The Israel Land
Performance |
Timeline |
Israel Shipyards |
Israel Land |
Israel Shipyards and Israel Land Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Israel Shipyards and Israel Land
The main advantage of trading using opposite Israel Shipyards and Israel Land positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Israel Shipyards position performs unexpectedly, Israel Land 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 Israel Land will offset losses from the drop in Israel Land's long position.Israel Shipyards vs. Ilex Medical | Israel Shipyards vs. Skyline Investments | Israel Shipyards vs. Elbit Medical Technologies | Israel Shipyards vs. Electreon Wireless |
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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 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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