Correlation Between Golem Network and Drift Protocol
Can any of the company-specific risk be diversified away by investing in both Golem Network and Drift Protocol 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 Drift Protocol 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 Drift protocol, you can compare the effects of market volatilities on Golem Network and Drift Protocol 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 Drift Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golem Network and Drift Protocol.
Diversification Opportunities for Golem Network and Drift Protocol
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Golem and Drift is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Golem Network Token and Drift protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Drift protocol 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 Drift Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Drift protocol has no effect on the direction of Golem Network i.e., Golem Network and Drift Protocol go up and down completely randomly.
Pair Corralation between Golem Network and Drift Protocol
Assuming the 90 days trading horizon Golem Network Token is expected to generate 0.89 times more return on investment than Drift Protocol. However, Golem Network Token is 1.13 times less risky than Drift Protocol. It trades about -0.08 of its potential returns per unit of risk. Drift protocol is currently generating about -0.18 per unit of risk. 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 |
Golem Network Token vs. Drift protocol
Performance |
Timeline |
Golem Network Token |
Drift protocol |
Golem Network and Drift Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golem Network and Drift Protocol
The main advantage of trading using opposite Golem Network and Drift Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golem Network position performs unexpectedly, Drift Protocol 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 Drift Protocol will offset losses from the drop in Drift Protocol's long position.Golem Network vs. Staked Ether | Golem Network vs. Phala Network | Golem Network vs. EigenLayer | Golem Network vs. EOSDAC |
Drift Protocol vs. Staked Ether | Drift Protocol vs. Phala Network | Drift Protocol vs. EigenLayer | Drift Protocol 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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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