Correlation Between MLN and Golem Network
Can any of the company-specific risk be diversified away by investing in both MLN 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 MLN and Golem Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MLN and Golem Network Token, you can compare the effects of market volatilities on MLN 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 MLN with a short position of Golem Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of MLN and Golem Network.
Diversification Opportunities for MLN and Golem Network
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MLN and Golem is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding MLN 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 MLN 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 MLN 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 MLN i.e., MLN and Golem Network go up and down completely randomly.
Pair Corralation between MLN and Golem Network
Assuming the 90 days trading horizon MLN is expected to under-perform the Golem Network. But the crypto coin apears to be less risky and, when comparing its historical volatility, MLN is 1.31 times less risky than Golem Network. The crypto coin trades about -0.26 of its potential returns per unit of risk. The Golem Network Token is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 37.00 in Golem Network Token on December 28, 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 |
MLN vs. Golem Network Token
Performance |
Timeline |
MLN |
Golem Network Token |
MLN and Golem Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MLN and Golem Network
The main advantage of trading using opposite MLN and Golem Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MLN 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.The idea behind MLN and Golem Network Token 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.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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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