Correlation Between CFI Holding and Gamedust
Can any of the company-specific risk be diversified away by investing in both CFI Holding and Gamedust 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 CFI Holding and Gamedust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CFI Holding SA and Gamedust SA, you can compare the effects of market volatilities on CFI Holding and Gamedust 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 CFI Holding with a short position of Gamedust. Check out your portfolio center. Please also check ongoing floating volatility patterns of CFI Holding and Gamedust.
Diversification Opportunities for CFI Holding and Gamedust
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CFI and Gamedust is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding CFI Holding SA and Gamedust SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gamedust SA and CFI Holding 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 CFI Holding SA are associated (or correlated) with Gamedust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gamedust SA has no effect on the direction of CFI Holding i.e., CFI Holding and Gamedust go up and down completely randomly.
Pair Corralation between CFI Holding and Gamedust
Assuming the 90 days trading horizon CFI Holding SA is expected to generate 1.07 times more return on investment than Gamedust. However, CFI Holding is 1.07 times more volatile than Gamedust SA. It trades about -0.05 of its potential returns per unit of risk. Gamedust SA is currently generating about -0.1 per unit of risk. If you would invest 21.00 in CFI Holding SA on September 2, 2024 and sell it today you would lose (4.00) from holding CFI Holding SA or give up 19.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 89.06% |
Values | Daily Returns |
CFI Holding SA vs. Gamedust SA
Performance |
Timeline |
CFI Holding SA |
Gamedust SA |
CFI Holding and Gamedust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CFI Holding and Gamedust
The main advantage of trading using opposite CFI Holding and Gamedust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CFI Holding position performs unexpectedly, Gamedust 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 Gamedust will offset losses from the drop in Gamedust's long position.CFI Holding vs. CI Games SA | CFI Holding vs. SOFTWARE MANSION SPOLKA | CFI Holding vs. BNP Paribas Bank | CFI Holding vs. Varsav Game Studios |
Gamedust vs. Asseco Business Solutions | Gamedust vs. Detalion Games SA | Gamedust vs. Asseco South Eastern | Gamedust vs. CFI Holding 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 Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |