Correlation Between Gilat Satellite and SDX Energy
Can any of the company-specific risk be diversified away by investing in both Gilat Satellite and SDX Energy 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 Gilat Satellite and SDX Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gilat Satellite Networks and SDX Energy plc, you can compare the effects of market volatilities on Gilat Satellite and SDX Energy 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 Gilat Satellite with a short position of SDX Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gilat Satellite and SDX Energy.
Diversification Opportunities for Gilat Satellite and SDX Energy
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Gilat and SDX is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Gilat Satellite Networks and SDX Energy plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SDX Energy plc and Gilat Satellite 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 Gilat Satellite Networks are associated (or correlated) with SDX Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SDX Energy plc has no effect on the direction of Gilat Satellite i.e., Gilat Satellite and SDX Energy go up and down completely randomly.
Pair Corralation between Gilat Satellite and SDX Energy
Given the investment horizon of 90 days Gilat Satellite is expected to generate 23.57 times less return on investment than SDX Energy. But when comparing it to its historical volatility, Gilat Satellite Networks is 14.33 times less risky than SDX Energy. It trades about 0.05 of its potential returns per unit of risk. SDX Energy plc is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1.42 in SDX Energy plc on November 9, 2024 and sell it today you would lose (1.29) from holding SDX Energy plc or give up 90.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 98.89% |
| Values | Daily Returns |
Gilat Satellite Networks vs. SDX Energy plc
Performance |
| Timeline |
| Gilat Satellite Networks |
| SDX Energy plc |
Gilat Satellite and SDX Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gilat Satellite and SDX Energy
The main advantage of trading using opposite Gilat Satellite and SDX Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gilat Satellite position performs unexpectedly, SDX Energy 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 SDX Energy will offset losses from the drop in SDX Energy's long position.| Gilat Satellite vs. ADTRAN Inc | Gilat Satellite vs. Mynaric AG ADR | Gilat Satellite vs. KVH Industries | Gilat Satellite vs. Telesat Corp |
| SDX Energy vs. 1st NRG Corp | SDX Energy vs. Petro Viking Energy | SDX Energy vs. Otto Energy Limited | SDX Energy vs. Empire Petroleum Corp |
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.
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