Correlation Between Polygon and FTX Token
Can any of the company-specific risk be diversified away by investing in both Polygon and FTX Token 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 Polygon and FTX Token into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and FTX Token, you can compare the effects of market volatilities on Polygon and FTX Token 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 Polygon with a short position of FTX Token. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and FTX Token.
Diversification Opportunities for Polygon and FTX Token
Very weak diversification
The 3 months correlation between Polygon and FTX is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and FTX Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FTX Token and Polygon 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 Polygon are associated (or correlated) with FTX Token. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FTX Token has no effect on the direction of Polygon i.e., Polygon and FTX Token go up and down completely randomly.
Pair Corralation between Polygon and FTX Token
Assuming the 90 days trading horizon Polygon is expected to under-perform the FTX Token. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon is 1.42 times less risky than FTX Token. The crypto coin trades about -0.1 of its potential returns per unit of risk. The FTX Token is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 176.00 in FTX Token on January 24, 2024 and sell it today you would lose (21.00) from holding FTX Token or give up 11.93% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polygon vs. FTX Token
Performance |
| Timeline |
| Polygon |
| FTX Token |
Polygon and FTX Token Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polygon and FTX Token
The main advantage of trading using opposite Polygon and FTX Token positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, FTX Token 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 FTX Token will offset losses from the drop in FTX Token's long position.The idea behind Polygon and FTX 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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