Correlation Between Polygon and DigiByte

Can any of the company-specific risk be diversified away by investing in both Polygon and DigiByte 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 DigiByte into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Polygon and DigiByte, you can compare the effects of market volatilities on Polygon and DigiByte 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 DigiByte. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and DigiByte.

Diversification Opportunities for Polygon and DigiByte

0.53

Correlation Coefficient

Polygon  DigiByte

Very weak diversification

The 3 months correlation between Polygon and DigiByte is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and DigiByte in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DigiByte 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 DigiByte. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DigiByte has no effect on the direction of Polygon i.e., Polygon and DigiByte go up and down completely randomly.

Pair Corralation between Polygon and DigiByte

Assuming the 90 days trading horizon Polygon is expected to under-perform the DigiByte. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon is 1.14 times less risky than DigiByte. The crypto coin trades about -0.27 of its potential returns per unit of risk. The DigiByte is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest  1.43  in DigiByte on January 25, 2024 and sell it today you would lose (0.11) from holding DigiByte or give up 7.69% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Polygon  vs.  DigiByte

Polygon

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Polygon are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, Polygon is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

DigiByte

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in DigiByte are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental drivers, DigiByte exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Polygon and DigiByte

The main advantage of trading using opposite Polygon and DigiByte positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, DigiByte 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 DigiByte will offset losses from the drop in DigiByte's long position.

The idea behind Polygon and DigiByte 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.

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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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.