Correlation Between Drift Protocol and Golem Network
Can any of the company-specific risk be diversified away by investing in both Drift Protocol 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 Drift Protocol and Golem Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Drift protocol and Golem Network Token, you can compare the effects of market volatilities on Drift Protocol 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 Drift Protocol with a short position of Golem Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Drift Protocol and Golem Network.
Diversification Opportunities for Drift Protocol and Golem Network
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Drift and Golem is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Drift protocol 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 Drift Protocol 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 Drift protocol 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 Drift Protocol i.e., Drift Protocol and Golem Network go up and down completely randomly.
Pair Corralation between Drift Protocol and Golem Network
Assuming the 90 days trading horizon Drift protocol is expected to under-perform the Golem Network. In addition to that, Drift Protocol is 1.13 times more volatile than Golem Network Token. It trades about -0.18 of its total potential returns per unit of risk. Golem Network Token is currently generating about -0.08 per unit of volatility. 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 |
Drift protocol vs. Golem Network Token
Performance |
Timeline |
Drift protocol |
Golem Network Token |
Drift Protocol and Golem Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Drift Protocol and Golem Network
The main advantage of trading using opposite Drift Protocol and Golem Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Drift Protocol 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.Drift Protocol vs. Staked Ether | Drift Protocol vs. Phala Network | Drift Protocol vs. EigenLayer | Drift Protocol 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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