Correlation Between Polygon Ecosystem and Golem Network
Can any of the company-specific risk be diversified away by investing in both Polygon Ecosystem and Golem Network 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 Polygon Ecosystem and Golem Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon Ecosystem Token and Golem Network Token, you can compare the effects of market volatilities on Polygon Ecosystem and Golem Network 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 Polygon Ecosystem with a short position of Golem Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon Ecosystem and Golem Network.
Diversification Opportunities for Polygon Ecosystem and Golem Network
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Polygon and Golem is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Polygon Ecosystem Token and Golem Network Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golem Network Token and Polygon Ecosystem 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 Polygon Ecosystem Token are associated (or correlated) with Golem Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golem Network Token has no effect on the direction of Polygon Ecosystem i.e., Polygon Ecosystem and Golem Network go up and down completely randomly.
Pair Corralation between Polygon Ecosystem and Golem Network
Assuming the 90 days trading horizon Polygon Ecosystem Token is expected to under-perform the Golem Network. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon Ecosystem Token is 1.03 times less risky than Golem Network. The crypto coin trades about -0.2 of its potential returns per unit of risk. The Golem Network Token is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 37.00 in Golem Network Token on December 30, 2024 and sell it today you would lose (12.00) from holding Golem Network Token or give up 32.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Polygon Ecosystem Token vs. Golem Network Token
Performance |
Timeline |
Polygon Ecosystem Token |
Golem Network Token |
Polygon Ecosystem and Golem Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Polygon Ecosystem and Golem Network
The main advantage of trading using opposite Polygon Ecosystem and Golem Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon Ecosystem position performs unexpectedly, Golem Network 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 Golem Network will offset losses from the drop in Golem Network's long position.Polygon Ecosystem vs. Staked Ether | Polygon Ecosystem vs. Phala Network | Polygon Ecosystem vs. EigenLayer | Polygon Ecosystem vs. EOSDAC |
Golem Network vs. Staked Ether | Golem Network vs. Phala Network | Golem Network vs. EigenLayer | Golem Network vs. EOSDAC |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Transaction History View history of all your transactions and understand their impact on performance | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |