Correlation Between Gamma Communications and G III
Can any of the company-specific risk be diversified away by investing in both Gamma Communications and G III 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 Gamma Communications and G III into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamma Communications plc and G III Apparel Group, you can compare the effects of market volatilities on Gamma Communications and G III 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 Gamma Communications with a short position of G III. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamma Communications and G III.
Diversification Opportunities for Gamma Communications and G III
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Gamma and GI4 is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Gamma Communications plc and G III Apparel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G III Apparel and Gamma Communications 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 Gamma Communications plc are associated (or correlated) with G III. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G III Apparel has no effect on the direction of Gamma Communications i.e., Gamma Communications and G III go up and down completely randomly.
Pair Corralation between Gamma Communications and G III
Assuming the 90 days horizon Gamma Communications is expected to generate 1.49 times less return on investment than G III. But when comparing it to its historical volatility, Gamma Communications plc is 1.35 times less risky than G III. It trades about 0.06 of its potential returns per unit of risk. G III Apparel Group is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,310 in G III Apparel Group on September 3, 2024 and sell it today you would earn a total of 1,490 from holding G III Apparel Group or generate 113.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gamma Communications plc vs. G III Apparel Group
Performance |
| Timeline |
| Gamma Communications plc |
| G III Apparel |
Gamma Communications and G III Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gamma Communications and G III
The main advantage of trading using opposite Gamma Communications and G III positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamma Communications position performs unexpectedly, G III 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 G III will offset losses from the drop in G III's long position.| Gamma Communications vs. Hemisphere Energy Corp | Gamma Communications vs. NetSol Technologies | Gamma Communications vs. LG Display Co | Gamma Communications vs. Citic Telecom International |
| G III vs. Westlake Chemical | G III vs. SK TELECOM TDADR | G III vs. Gamma Communications plc | G III vs. KINGBOARD CHEMICAL |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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