Correlation Between Gan Shmuel and Tower Semiconductor
Can any of the company-specific risk be diversified away by investing in both Gan Shmuel and Tower Semiconductor 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 Gan Shmuel and Tower Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gan Shmuel and Tower Semiconductor, you can compare the effects of market volatilities on Gan Shmuel and Tower Semiconductor 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 Gan Shmuel with a short position of Tower Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gan Shmuel and Tower Semiconductor.
Diversification Opportunities for Gan Shmuel and Tower Semiconductor
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gan and Tower is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Gan Shmuel and Tower Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tower Semiconductor and Gan Shmuel 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 Gan Shmuel are associated (or correlated) with Tower Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tower Semiconductor has no effect on the direction of Gan Shmuel i.e., Gan Shmuel and Tower Semiconductor go up and down completely randomly.
Pair Corralation between Gan Shmuel and Tower Semiconductor
Assuming the 90 days trading horizon Gan Shmuel is expected to generate 0.95 times more return on investment than Tower Semiconductor. However, Gan Shmuel is 1.05 times less risky than Tower Semiconductor. It trades about -0.17 of its potential returns per unit of risk. Tower Semiconductor is currently generating about -0.24 per unit of risk. If you would invest 383,300 in Gan Shmuel on December 29, 2024 and sell it today you would lose (76,300) from holding Gan Shmuel or give up 19.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gan Shmuel vs. Tower Semiconductor
Performance |
Timeline |
Gan Shmuel |
Tower Semiconductor |
Gan Shmuel and Tower Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gan Shmuel and Tower Semiconductor
The main advantage of trading using opposite Gan Shmuel and Tower Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gan Shmuel position performs unexpectedly, Tower Semiconductor 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 Tower Semiconductor will offset losses from the drop in Tower Semiconductor's long position.Gan Shmuel vs. Neto ME Holdings | Gan Shmuel vs. Kerur Holdings | Gan Shmuel vs. Salomon A Angel | Gan Shmuel vs. Sano Brunos Enterprises |
Tower Semiconductor vs. Teva Pharmaceutical Industries | Tower Semiconductor vs. Elbit Systems | Tower Semiconductor vs. Nice | Tower Semiconductor vs. Bezeq Israeli Telecommunication |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |