Correlation Between Arbitrum and Graph

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

By analyzing existing cross correlation between Arbitrum and The Graph, you can compare the effects of market volatilities on Arbitrum and Graph 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 Arbitrum with a short position of Graph. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arbitrum and Graph.

Diversification Opportunities for Arbitrum and Graph

0.99

Correlation Coefficient

Arbitrum  Graph

No risk reduction

The 3 months correlation between Arbitrum and Graph is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Arbitrum and The Graph in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graph and Arbitrum 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 Arbitrum are associated (or correlated) with Graph. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graph has no effect on the direction of Arbitrum i.e., Arbitrum and Graph go up and down completely randomly.

Pair Corralation between Arbitrum and Graph

Assuming the 90 days trading horizon Arbitrum is expected to generate 0.97 times more return on investment than Graph. However, Arbitrum is 1.04 times less risky than Graph. It trades about -0.17 of its potential returns per unit of risk. The Graph is currently generating about -0.17 per unit of risk. If you would invest  72.00  in Arbitrum on December 30, 2024 and sell it today you would lose (39.00) from holding Arbitrum or give up 54.17% of portfolio value over 90 days.

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

Arbitrum  vs.  The Graph

Arbitrum

Risk-Adjusted Performance

Very Weak

Over the last 90 days Arbitrum has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental drivers remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Arbitrum shareholders.

Graph

Risk-Adjusted Performance

Very Weak

Over the last 90 days The Graph has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for The Graph shareholders.

Pair Trading with Arbitrum and Graph

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

The idea behind Arbitrum and The Graph 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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.