Correlation Between G Willi and Amot Investments
Can any of the company-specific risk be diversified away by investing in both G Willi and Amot Investments 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 G Willi and Amot Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between G Willi Food International and Amot Investments, you can compare the effects of market volatilities on G Willi and Amot Investments 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 G Willi with a short position of Amot Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of G Willi and Amot Investments.
Diversification Opportunities for G Willi and Amot Investments
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between WILC and Amot is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding G Willi Food International and Amot Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amot Investments and G Willi 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 G Willi Food International are associated (or correlated) with Amot Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amot Investments has no effect on the direction of G Willi i.e., G Willi and Amot Investments go up and down completely randomly.
Pair Corralation between G Willi and Amot Investments
Assuming the 90 days trading horizon G Willi Food International is expected to generate 0.86 times more return on investment than Amot Investments. However, G Willi Food International is 1.16 times less risky than Amot Investments. It trades about 0.3 of its potential returns per unit of risk. Amot Investments is currently generating about 0.0 per unit of risk. If you would invest 522,900 in G Willi Food International on November 27, 2024 and sell it today you would earn a total of 104,800 from holding G Willi Food International or generate 20.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
G Willi Food International vs. Amot Investments
Performance |
| Timeline |
| G Willi Food |
| Amot Investments |
G Willi and Amot Investments Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with G Willi and Amot Investments
The main advantage of trading using opposite G Willi and Amot Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if G Willi position performs unexpectedly, Amot Investments 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 Amot Investments will offset losses from the drop in Amot Investments' long position.| G Willi vs. YD More Investments | G Willi vs. B Communications | G Willi vs. Sofwave Medical | G Willi vs. Insuline Medical |
| Amot Investments vs. Alony Hetz Properties | Amot Investments vs. Azrieli Group | Amot Investments vs. Melisron | Amot Investments vs. Bank Leumi Le Israel |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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