Correlation Between Giga Tronics and Eltek
Can any of the company-specific risk be diversified away by investing in both Giga Tronics and Eltek 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 Giga Tronics and Eltek into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Giga tronics and Eltek, you can compare the effects of market volatilities on Giga Tronics and Eltek 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 Giga Tronics with a short position of Eltek. Check out your portfolio center. Please also check ongoing floating volatility patterns of Giga Tronics and Eltek.
Diversification Opportunities for Giga Tronics and Eltek
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Giga and Eltek is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Giga tronics and Eltek in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eltek and Giga Tronics 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 Giga tronics are associated (or correlated) with Eltek. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eltek has no effect on the direction of Giga Tronics i.e., Giga Tronics and Eltek go up and down completely randomly.
Pair Corralation between Giga Tronics and Eltek
Given the investment horizon of 90 days Giga tronics is expected to generate 100.94 times more return on investment than Eltek. However, Giga Tronics is 100.94 times more volatile than Eltek. It trades about 0.26 of its potential returns per unit of risk. Eltek is currently generating about -0.09 per unit of risk. If you would invest 0.78 in Giga tronics on December 24, 2024 and sell it today you would lose (0.78) from holding Giga tronics or give up 100.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 14.75% |
Values | Daily Returns |
Giga tronics vs. Eltek
Performance |
Timeline |
Giga tronics |
Risk-Adjusted Performance
Solid
Weak | Strong |
Eltek |
Giga Tronics and Eltek Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Giga Tronics and Eltek
The main advantage of trading using opposite Giga Tronics and Eltek positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Giga Tronics position performs unexpectedly, Eltek 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 Eltek will offset losses from the drop in Eltek's long position.The idea behind Giga tronics and Eltek pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Eltek vs. Methode Electronics | Eltek vs. OSI Systems | Eltek vs. Bel Fuse A | Eltek vs. Richardson Electronics |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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