Correlation Between Graph and ORN

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

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

Diversification Opportunities for Graph and ORN

0.37

Correlation Coefficient

Graph  ORN

Weak diversification

The 3 months correlation between Graph and ORN is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding The Graph and ORN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ORN 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 ORN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ORN has no effect on the direction of Graph i.e., Graph and ORN go up and down completely randomly.

Pair Corralation between Graph and ORN

If you would invest  8.73  in The Graph on May 3, 2025 and sell it today you would earn a total of  1.18  from holding The Graph or generate 13.52% return on investment over 90 days.

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

The Graph  vs.  ORN

Graph

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in The Graph are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Graph exhibited solid returns over the last few months and may actually be approaching a breakup point.

ORN

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in ORN are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, ORN is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Graph and ORN

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

The idea behind The Graph and ORN 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.