Correlation Between Lapidoth and Tower Semiconductor
Can any of the company-specific risk be diversified away by investing in both Lapidoth 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 Lapidoth and Tower Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lapidoth and Tower Semiconductor, you can compare the effects of market volatilities on Lapidoth 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 Lapidoth with a short position of Tower Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lapidoth and Tower Semiconductor.
Diversification Opportunities for Lapidoth and Tower Semiconductor
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lapidoth and Tower is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Lapidoth and Tower Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tower Semiconductor and Lapidoth 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 Lapidoth 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 Lapidoth i.e., Lapidoth and Tower Semiconductor go up and down completely randomly.
Pair Corralation between Lapidoth and Tower Semiconductor
Assuming the 90 days trading horizon Lapidoth is expected to generate 0.85 times more return on investment than Tower Semiconductor. However, Lapidoth is 1.18 times less risky than Tower Semiconductor. It trades about 0.25 of its potential returns per unit of risk. Tower Semiconductor is currently generating about 0.11 per unit of risk. If you would invest 515,253 in Lapidoth on September 23, 2024 and sell it today you would earn a total of 153,447 from holding Lapidoth or generate 29.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lapidoth vs. Tower Semiconductor
Performance |
Timeline |
Lapidoth |
Tower Semiconductor |
Lapidoth and Tower Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lapidoth and Tower Semiconductor
The main advantage of trading using opposite Lapidoth and Tower Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lapidoth 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.Lapidoth vs. Atreyu Capital Markets | Lapidoth vs. IBI Inv House | Lapidoth vs. Delek Automotive Systems | Lapidoth vs. Scope Metals Group |
Tower Semiconductor vs. Palram | Tower Semiconductor vs. Shagrir Group Vehicle | Tower Semiconductor vs. EN Shoham Business | Tower Semiconductor vs. Lapidoth |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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