Correlation Between Gamma Communications and QINGCI GAMES
Can any of the company-specific risk be diversified away by investing in both Gamma Communications and QINGCI GAMES 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 QINGCI GAMES 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 QINGCI GAMES INC, you can compare the effects of market volatilities on Gamma Communications and QINGCI GAMES 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 QINGCI GAMES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamma Communications and QINGCI GAMES.
Diversification Opportunities for Gamma Communications and QINGCI GAMES
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gamma and QINGCI is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Gamma Communications plc and QINGCI GAMES INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QINGCI GAMES INC 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 QINGCI GAMES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QINGCI GAMES INC has no effect on the direction of Gamma Communications i.e., Gamma Communications and QINGCI GAMES go up and down completely randomly.
Pair Corralation between Gamma Communications and QINGCI GAMES
Assuming the 90 days horizon Gamma Communications plc is expected to under-perform the QINGCI GAMES. But the stock apears to be less risky and, when comparing its historical volatility, Gamma Communications plc is 2.03 times less risky than QINGCI GAMES. The stock trades about -0.06 of its potential returns per unit of risk. The QINGCI GAMES INC is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 27.00 in QINGCI GAMES INC on August 28, 2024 and sell it today you would earn a total of 0.00 from holding QINGCI GAMES INC or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gamma Communications plc vs. QINGCI GAMES INC
Performance |
| Timeline |
| Gamma Communications plc |
| QINGCI GAMES INC |
Gamma Communications and QINGCI GAMES Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gamma Communications and QINGCI GAMES
The main advantage of trading using opposite Gamma Communications and QINGCI GAMES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamma Communications position performs unexpectedly, QINGCI GAMES 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 QINGCI GAMES will offset losses from the drop in QINGCI GAMES's long position.| Gamma Communications vs. QINGCI GAMES INC | Gamma Communications vs. TROPHY GAMES DEV | Gamma Communications vs. GigaMedia | Gamma Communications vs. Perseus Mining Limited |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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