Correlation Between TAT Technologies and Gilat Telecom
Can any of the company-specific risk be diversified away by investing in both TAT Technologies and Gilat Telecom 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 TAT Technologies and Gilat Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TAT Technologies and Gilat Telecom Global, you can compare the effects of market volatilities on TAT Technologies and Gilat Telecom 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 TAT Technologies with a short position of Gilat Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of TAT Technologies and Gilat Telecom.
Diversification Opportunities for TAT Technologies and Gilat Telecom
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between TAT and Gilat is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding TAT Technologies and Gilat Telecom Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gilat Telecom Global and TAT Technologies 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 TAT Technologies are associated (or correlated) with Gilat Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gilat Telecom Global has no effect on the direction of TAT Technologies i.e., TAT Technologies and Gilat Telecom go up and down completely randomly.
Pair Corralation between TAT Technologies and Gilat Telecom
Assuming the 90 days trading horizon TAT Technologies is expected to generate 1.77 times less return on investment than Gilat Telecom. But when comparing it to its historical volatility, TAT Technologies is 1.11 times less risky than Gilat Telecom. It trades about 0.15 of its potential returns per unit of risk. Gilat Telecom Global is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 7,030 in Gilat Telecom Global on October 10, 2024 and sell it today you would earn a total of 880.00 from holding Gilat Telecom Global or generate 12.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
TAT Technologies vs. Gilat Telecom Global
Performance |
Timeline |
TAT Technologies |
Gilat Telecom Global |
TAT Technologies and Gilat Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TAT Technologies and Gilat Telecom
The main advantage of trading using opposite TAT Technologies and Gilat Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TAT Technologies position performs unexpectedly, Gilat Telecom 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 Gilat Telecom will offset losses from the drop in Gilat Telecom's long position.TAT Technologies vs. Bet Shemesh Engines | TAT Technologies vs. Orbit Technologies | TAT Technologies vs. Tower Semiconductor | TAT Technologies vs. Elron Electronic Industries |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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