Correlation Between Gravity and Golem Network
Can any of the company-specific risk be diversified away by investing in both Gravity 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 Gravity and Golem Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gravity and Golem Network Token, you can compare the effects of market volatilities on Gravity 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 Gravity with a short position of Golem Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gravity and Golem Network.
Diversification Opportunities for Gravity and Golem Network
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gravity and Golem is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Gravity 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 Gravity 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 Gravity 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 Gravity i.e., Gravity and Golem Network go up and down completely randomly.
Pair Corralation between Gravity and Golem Network
Given the investment horizon of 90 days Gravity is expected to under-perform the Golem Network. In addition to that, Gravity is 1.04 times more volatile than Golem Network Token. It trades about -0.14 of its total potential returns per unit of risk. Golem Network Token is currently generating about -0.06 per unit of volatility. 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 | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gravity vs. Golem Network Token
Performance |
Timeline |
Gravity |
Golem Network Token |
Gravity and Golem Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gravity and Golem Network
The main advantage of trading using opposite Gravity and Golem Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gravity 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 Gravity 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.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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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