Correlation Between Fantagio Corp and Global Standard
Can any of the company-specific risk be diversified away by investing in both Fantagio Corp and Global Standard 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 Fantagio Corp and Global Standard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fantagio Corp and Global Standard Technology, you can compare the effects of market volatilities on Fantagio Corp and Global Standard 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 Fantagio Corp with a short position of Global Standard. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fantagio Corp and Global Standard.
Diversification Opportunities for Fantagio Corp and Global Standard
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fantagio and Global is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Fantagio Corp and Global Standard Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Standard Tech and Fantagio Corp 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 Fantagio Corp are associated (or correlated) with Global Standard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Standard Tech has no effect on the direction of Fantagio Corp i.e., Fantagio Corp and Global Standard go up and down completely randomly.
Pair Corralation between Fantagio Corp and Global Standard
Assuming the 90 days trading horizon Fantagio Corp is expected to under-perform the Global Standard. In addition to that, Fantagio Corp is 1.19 times more volatile than Global Standard Technology. It trades about -0.04 of its total potential returns per unit of risk. Global Standard Technology is currently generating about 0.05 per unit of volatility. If you would invest 1,085,013 in Global Standard Technology on October 23, 2024 and sell it today you would earn a total of 743,987 from holding Global Standard Technology or generate 68.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.1% |
Values | Daily Returns |
Fantagio Corp vs. Global Standard Technology
Performance |
Timeline |
Fantagio Corp |
Global Standard Tech |
Fantagio Corp and Global Standard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fantagio Corp and Global Standard
The main advantage of trading using opposite Fantagio Corp and Global Standard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fantagio Corp position performs unexpectedly, Global Standard 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 Global Standard will offset losses from the drop in Global Standard's long position.Fantagio Corp vs. Global Standard Technology | Fantagio Corp vs. Hwangkum Steel Technology | Fantagio Corp vs. Sempio Foods Co | Fantagio Corp vs. Hankukpackage Co |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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