Correlation Between Harel Insurance and M Yochananof
Can any of the company-specific risk be diversified away by investing in both Harel Insurance and M Yochananof 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 Harel Insurance and M Yochananof into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harel Insurance Investments and M Yochananof and, you can compare the effects of market volatilities on Harel Insurance and M Yochananof 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 Harel Insurance with a short position of M Yochananof. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harel Insurance and M Yochananof.
Diversification Opportunities for Harel Insurance and M Yochananof
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Harel and YHNF is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Harel Insurance Investments and M Yochananof and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M Yochananof and Harel Insurance 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 Harel Insurance Investments are associated (or correlated) with M Yochananof. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M Yochananof has no effect on the direction of Harel Insurance i.e., Harel Insurance and M Yochananof go up and down completely randomly.
Pair Corralation between Harel Insurance and M Yochananof
Assuming the 90 days trading horizon Harel Insurance Investments is expected to generate 1.13 times more return on investment than M Yochananof. However, Harel Insurance is 1.13 times more volatile than M Yochananof and. It trades about 0.08 of its potential returns per unit of risk. M Yochananof and is currently generating about 0.04 per unit of risk. If you would invest 274,476 in Harel Insurance Investments on September 13, 2024 and sell it today you would earn a total of 232,724 from holding Harel Insurance Investments or generate 84.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.74% |
| Values | Daily Returns |
Harel Insurance Investments vs. M Yochananof and
Performance |
| Timeline |
| Harel Insurance Inve |
| M Yochananof |
Harel Insurance and M Yochananof Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Harel Insurance and M Yochananof
The main advantage of trading using opposite Harel Insurance and M Yochananof positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harel Insurance position performs unexpectedly, M Yochananof 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 M Yochananof will offset losses from the drop in M Yochananof's long position.| Harel Insurance vs. Bank Hapoalim | Harel Insurance vs. Israel Discount Bank | Harel Insurance vs. Mizrahi Tefahot | Harel Insurance vs. Bezeq Israeli Telecommunication |
| M Yochananof vs. Rami Levi | M Yochananof vs. Shufersal | M Yochananof vs. Strauss Group | M Yochananof vs. Victory Supermarket Chain |
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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