Correlation Between Tower Semiconductor and Aura Investments
Can any of the company-specific risk be diversified away by investing in both Tower Semiconductor and Aura 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 Tower Semiconductor and Aura Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tower Semiconductor and Aura Investments, you can compare the effects of market volatilities on Tower Semiconductor and Aura 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 Tower Semiconductor with a short position of Aura Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tower Semiconductor and Aura Investments.
Diversification Opportunities for Tower Semiconductor and Aura Investments
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tower and Aura is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Tower Semiconductor and Aura Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aura Investments and Tower Semiconductor 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 Tower Semiconductor are associated (or correlated) with Aura Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aura Investments has no effect on the direction of Tower Semiconductor i.e., Tower Semiconductor and Aura Investments go up and down completely randomly.
Pair Corralation between Tower Semiconductor and Aura Investments
Assuming the 90 days trading horizon Tower Semiconductor is expected to under-perform the Aura Investments. In addition to that, Tower Semiconductor is 1.03 times more volatile than Aura Investments. It trades about -0.24 of its total potential returns per unit of risk. Aura Investments is currently generating about -0.14 per unit of volatility. If you would invest 214,500 in Aura Investments on December 29, 2024 and sell it today you would lose (37,000) from holding Aura Investments or give up 17.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Tower Semiconductor vs. Aura Investments
Performance |
Timeline |
Tower Semiconductor |
Aura Investments |
Tower Semiconductor and Aura Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tower Semiconductor and Aura Investments
The main advantage of trading using opposite Tower Semiconductor and Aura Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tower Semiconductor position performs unexpectedly, Aura 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 Aura Investments will offset losses from the drop in Aura Investments' long position.Tower Semiconductor vs. Teva Pharmaceutical Industries | Tower Semiconductor vs. Elbit Systems | Tower Semiconductor vs. Nice | Tower Semiconductor vs. Bezeq Israeli Telecommunication |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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