Correlation Between XT Token and Theta Fuel
Can any of the company-specific risk be diversified away by investing in both XT Token and Theta Fuel 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 XT Token and Theta Fuel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XT Token and Theta Fuel, you can compare the effects of market volatilities on XT Token and Theta Fuel 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 XT Token with a short position of Theta Fuel. Check out your portfolio center. Please also check ongoing floating volatility patterns of XT Token and Theta Fuel.
Diversification Opportunities for XT Token and Theta Fuel
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XT Token and Theta is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding XT Token and Theta Fuel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Theta Fuel and XT Token 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 XT Token are associated (or correlated) with Theta Fuel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Theta Fuel has no effect on the direction of XT Token i.e., XT Token and Theta Fuel go up and down completely randomly.
Pair Corralation between XT Token and Theta Fuel
Assuming the 90 days horizon XT Token is expected to generate 29.9 times more return on investment than Theta Fuel. However, XT Token is 29.9 times more volatile than Theta Fuel. It trades about 0.12 of its potential returns per unit of risk. Theta Fuel is currently generating about -0.18 per unit of risk. If you would invest 0.00 in XT Token on December 27, 2024 and sell it today you would earn a total of 438.00 from holding XT Token or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
XT Token vs. Theta Fuel
Performance |
Timeline |
XT Token |
Theta Fuel |
XT Token and Theta Fuel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XT Token and Theta Fuel
The main advantage of trading using opposite XT Token and Theta Fuel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XT Token position performs unexpectedly, Theta Fuel 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 Theta Fuel will offset losses from the drop in Theta Fuel's long position.The idea behind XT Token and Theta Fuel 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.Theta Fuel vs. Theta Network | Theta Fuel vs. Staked Ether | Theta Fuel vs. Phala Network | Theta Fuel vs. EigenLayer |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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