Correlation Between Golem Network and Flare
Can any of the company-specific risk be diversified away by investing in both Golem Network and Flare 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 Golem Network and Flare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golem Network Token and Flare, you can compare the effects of market volatilities on Golem Network and Flare 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 Golem Network with a short position of Flare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golem Network and Flare.
Diversification Opportunities for Golem Network and Flare
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Golem and Flare is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Golem Network Token and Flare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flare and Golem Network 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 Golem Network Token are associated (or correlated) with Flare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flare has no effect on the direction of Golem Network i.e., Golem Network and Flare go up and down completely randomly.
Pair Corralation between Golem Network and Flare
Assuming the 90 days trading horizon Golem Network Token is expected to generate 1.08 times more return on investment than Flare. However, Golem Network is 1.08 times more volatile than Flare. It trades about -0.06 of its potential returns per unit of risk. Flare is currently generating about -0.17 per unit of risk. If you would invest 37.00 in Golem Network Token on December 29, 2024 and sell it today you would lose (10.00) from holding Golem Network Token or give up 27.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Golem Network Token vs. Flare
Performance |
Timeline |
Golem Network Token |
Flare |
Golem Network and Flare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golem Network and Flare
The main advantage of trading using opposite Golem Network and Flare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golem Network position performs unexpectedly, Flare 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 Flare will offset losses from the drop in Flare's long position.The idea behind Golem Network Token and Flare pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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