Correlation Between Igoria Trade and Gaming Factory
Can any of the company-specific risk be diversified away by investing in both Igoria Trade and Gaming Factory 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 Igoria Trade and Gaming Factory into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Igoria Trade SA and Gaming Factory SA, you can compare the effects of market volatilities on Igoria Trade and Gaming Factory 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 Igoria Trade with a short position of Gaming Factory. Check out your portfolio center. Please also check ongoing floating volatility patterns of Igoria Trade and Gaming Factory.
Diversification Opportunities for Igoria Trade and Gaming Factory
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Igoria and Gaming is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Igoria Trade SA and Gaming Factory SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gaming Factory SA and Igoria Trade 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 Igoria Trade SA are associated (or correlated) with Gaming Factory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gaming Factory SA has no effect on the direction of Igoria Trade i.e., Igoria Trade and Gaming Factory go up and down completely randomly.
Pair Corralation between Igoria Trade and Gaming Factory
Assuming the 90 days trading horizon Igoria Trade SA is expected to generate 1.96 times more return on investment than Gaming Factory. However, Igoria Trade is 1.96 times more volatile than Gaming Factory SA. It trades about 0.03 of its potential returns per unit of risk. Gaming Factory SA is currently generating about 0.04 per unit of risk. If you would invest 24.00 in Igoria Trade SA on September 11, 2024 and sell it today you would earn a total of 1.00 from holding Igoria Trade SA or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.36% |
Values | Daily Returns |
Igoria Trade SA vs. Gaming Factory SA
Performance |
Timeline |
Igoria Trade SA |
Gaming Factory SA |
Igoria Trade and Gaming Factory Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Igoria Trade and Gaming Factory
The main advantage of trading using opposite Igoria Trade and Gaming Factory positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Igoria Trade position performs unexpectedly, Gaming Factory 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 Gaming Factory will offset losses from the drop in Gaming Factory's long position.Igoria Trade vs. LSI Software SA | Igoria Trade vs. Movie Games SA | Igoria Trade vs. Biztech Konsulting SA | Igoria Trade vs. Globe Trade Centre |
Gaming Factory vs. CI Games SA | Gaming Factory vs. Tower Investments SA | Gaming Factory vs. True Games Syndicate | Gaming Factory vs. Echo Investment SA |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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