Correlation Between Fuller Thaler and Commodity Return

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

By analyzing existing cross correlation between Fuller Thaler Behavioral and Commodity Return Strategy, you can compare the effects of market volatilities on Fuller Thaler and Commodity Return 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 Fuller Thaler with a short position of Commodity Return. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fuller Thaler and Commodity Return.

Diversification Opportunities for Fuller Thaler and Commodity Return

0.0

Correlation Coefficient

Fuller Thaler  Commodity Return

Pay attention - limited upside

The 3 months correlation between Fuller and Commodity is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Fuller Thaler Behavioral and Commodity Return Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodity Return Strategy and Fuller Thaler 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 Fuller Thaler Behavioral are associated (or correlated) with Commodity Return. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodity Return Strategy has no effect on the direction of Fuller Thaler i.e., Fuller Thaler and Commodity Return go up and down completely randomly.

Pair Corralation between Fuller Thaler and Commodity Return

If you would invest  4,438  in Fuller Thaler Behavioral on May 17, 2025 and sell it today you would earn a total of  341.00  from holding Fuller Thaler Behavioral or generate 7.68% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	1.61%
Values	Daily Returns

Fuller Thaler Behavioral  vs.  Commodity Return Strategy

Fuller Thaler Behavioral

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in Fuller Thaler Behavioral are ranked lower than 9 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Fuller Thaler may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Commodity Return Strategy

Risk-Adjusted Performance

Weakest

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

Pair Trading with Fuller Thaler and Commodity Return

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

The idea behind Fuller Thaler Behavioral and Commodity Return Strategy 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.