Correlation Between Fractal Gaming and Desenio Group
Can any of the company-specific risk be diversified away by investing in both Fractal Gaming and Desenio Group 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 Fractal Gaming and Desenio Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fractal Gaming Group and Desenio Group AB, you can compare the effects of market volatilities on Fractal Gaming and Desenio Group 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 Fractal Gaming with a short position of Desenio Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fractal Gaming and Desenio Group.
Diversification Opportunities for Fractal Gaming and Desenio Group
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fractal and Desenio is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Fractal Gaming Group and Desenio Group AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Desenio Group AB and Fractal Gaming 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 Fractal Gaming Group are associated (or correlated) with Desenio Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Desenio Group AB has no effect on the direction of Fractal Gaming i.e., Fractal Gaming and Desenio Group go up and down completely randomly.
Pair Corralation between Fractal Gaming and Desenio Group
Assuming the 90 days trading horizon Fractal Gaming Group is expected to under-perform the Desenio Group. But the stock apears to be less risky and, when comparing its historical volatility, Fractal Gaming Group is 3.6 times less risky than Desenio Group. The stock trades about -0.01 of its potential returns per unit of risk. The Desenio Group AB is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 50.00 in Desenio Group AB on August 25, 2024 and sell it today you would lose (21.00) from holding Desenio Group AB or give up 42.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fractal Gaming Group vs. Desenio Group AB
Performance |
Timeline |
Fractal Gaming Group |
Desenio Group AB |
Fractal Gaming and Desenio Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fractal Gaming and Desenio Group
The main advantage of trading using opposite Fractal Gaming and Desenio Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fractal Gaming position performs unexpectedly, Desenio Group 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 Desenio Group will offset losses from the drop in Desenio Group's long position.Fractal Gaming vs. Media and Games | Fractal Gaming vs. Cint Group AB | Fractal Gaming vs. Thunderful Group AB | Fractal Gaming vs. Enad Global 7 |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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