Correlation Between Bragg Gaming and CVECN
Specify exactly 2 symbols:
By analyzing existing cross correlation between Bragg Gaming Group and CVECN 265 15 JAN 32, you can compare the effects of market volatilities on Bragg Gaming and CVECN 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 Bragg Gaming with a short position of CVECN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bragg Gaming and CVECN.
Diversification Opportunities for Bragg Gaming and CVECN
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bragg and CVECN is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bragg Gaming Group and CVECN 265 15 JAN 32 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVECN 265 15 and Bragg 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 Bragg Gaming Group are associated (or correlated) with CVECN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVECN 265 15 has no effect on the direction of Bragg Gaming i.e., Bragg Gaming and CVECN go up and down completely randomly.
Pair Corralation between Bragg Gaming and CVECN
Given the investment horizon of 90 days Bragg Gaming Group is expected to generate 5.91 times more return on investment than CVECN. However, Bragg Gaming is 5.91 times more volatile than CVECN 265 15 JAN 32. It trades about -0.02 of its potential returns per unit of risk. CVECN 265 15 JAN 32 is currently generating about -0.13 per unit of risk. If you would invest 490.00 in Bragg Gaming Group on October 25, 2024 and sell it today you would lose (67.00) from holding Bragg Gaming Group or give up 13.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 74.58% |
Values | Daily Returns |
Bragg Gaming Group vs. CVECN 265 15 JAN 32
Performance |
Timeline |
Bragg Gaming Group |
CVECN 265 15 |
Bragg Gaming and CVECN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bragg Gaming and CVECN
The main advantage of trading using opposite Bragg Gaming and CVECN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bragg Gaming position performs unexpectedly, CVECN 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 CVECN will offset losses from the drop in CVECN's long position.Bragg Gaming vs. i3 Interactive | Bragg Gaming vs. Snail, Class A | Bragg Gaming vs. Playstudios | Bragg Gaming vs. GDEV Inc |
CVECN vs. Western Acquisition Ventures | CVECN vs. flyExclusive, | CVECN vs. Valmont Industries | CVECN vs. Hurco Companies |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Equity Valuation Check real value of public entities based on technical and fundamental data |