Correlation Between Gmo Resources and Scharf Fund

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

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

Diversification Opportunities for Gmo Resources and Scharf Fund

0.07

Correlation Coefficient

Gmo Resources  Scharf Fund

Significant diversification

The 3 months correlation between Gmo and Scharf is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Resources and Scharf Fund Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scharf Fund Retail and Gmo Resources 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 Gmo Resources are associated (or correlated) with Scharf Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scharf Fund Retail has no effect on the direction of Gmo Resources i.e., Gmo Resources and Scharf Fund go up and down completely randomly.

Pair Corralation between Gmo Resources and Scharf Fund

Assuming the 90 days horizon Gmo Resources is expected to under-perform the Scharf Fund. In addition to that, Gmo Resources is 11.18 times more volatile than Scharf Fund Retail. It trades about -0.02 of its total potential returns per unit of risk. Scharf Fund Retail is currently generating about -0.09 per unit of volatility. If you would invest  5,169  in Scharf Fund Retail on December 27, 2024 and sell it today you would lose (32.00) from holding Scharf Fund Retail or give up 0.62% of portfolio value over 90 days.

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

Gmo Resources  vs.  Scharf Fund Retail

Gmo Resources

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gmo Resources has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Gmo Resources is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Scharf Fund Retail

Risk-Adjusted Performance

Very Weak

Over the last 90 days Scharf Fund Retail has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Scharf Fund is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Gmo Resources and Scharf Fund

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

The idea behind Gmo Resources and Scharf Fund Retail 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.