Correlation Between Graham and Gorman Rupp

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

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

Diversification Opportunities for Graham and Gorman Rupp

0.09

Correlation Coefficient

Graham  Gorman Rupp

Significant diversification

The 3 months correlation between Graham and Gorman is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Graham and Gorman Rupp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gorman Rupp and Graham 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 Graham are associated (or correlated) with Gorman Rupp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gorman Rupp has no effect on the direction of Graham i.e., Graham and Gorman Rupp go up and down completely randomly.

Pair Corralation between Graham and Gorman Rupp

Considering the 90-day investment horizon Graham is expected to under-perform the Gorman Rupp. In addition to that, Graham is 2.5 times more volatile than Gorman Rupp. It trades about -0.14 of its total potential returns per unit of risk. Gorman Rupp is currently generating about -0.04 per unit of volatility. If you would invest  3,804  in Gorman Rupp on December 27, 2024 and sell it today you would lose (163.00) from holding Gorman Rupp or give up 4.28% of portfolio value over 90 days.

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

Graham  vs.  Gorman Rupp

Graham

Risk-Adjusted Performance

Very Weak

Over the last 90 days Graham has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's technical indicators remain very healthy which may send shares a bit higher in April 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Gorman Rupp

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gorman Rupp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Gorman Rupp is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Graham and Gorman Rupp

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

The idea behind Graham and Gorman Rupp 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.