Correlation Between Graph and FTM
Can any of the company-specific risk be diversified away by investing in both Graph and FTM 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 Graph and FTM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Graph and FTM, you can compare the effects of market volatilities on Graph and FTM 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 Graph with a short position of FTM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Graph and FTM.
Diversification Opportunities for Graph and FTM
Very weak diversification
The 3 months correlation between Graph and FTM is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding The Graph and FTM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FTM and Graph 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 The Graph are associated (or correlated) with FTM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FTM has no effect on the direction of Graph i.e., Graph and FTM go up and down completely randomly.
Pair Corralation between Graph and FTM
Assuming the 90 days trading horizon The Graph is expected to under-perform the FTM. But the crypto coin apears to be less risky and, when comparing its historical volatility, The Graph is 1.64 times less risky than FTM. The crypto coin trades about -0.17 of its potential returns per unit of risk. The FTM is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 68.00 in FTM on December 30, 2024 and sell it today you would lose (20.00) from holding FTM or give up 29.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Graph vs. FTM
Performance |
Timeline |
Graph |
FTM |
Graph and FTM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Graph and FTM
The main advantage of trading using opposite Graph and FTM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Graph position performs unexpectedly, FTM 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 FTM will offset losses from the drop in FTM's long position.The idea behind The Graph and FTM 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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