Correlation Between Sugar and Rough Rice

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

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

Diversification Opportunities for Sugar and Rough Rice

0.1

Correlation Coefficient

Sugar  Rough Rice

Average diversification

The 3 months correlation between Sugar and Rough is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Sugar and Rough Rice Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rough Rice Futures and Sugar 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 Sugar are associated (or correlated) with Rough Rice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rough Rice Futures has no effect on the direction of Sugar i.e., Sugar and Rough Rice go up and down completely randomly.

Pair Corralation between Sugar and Rough Rice

Assuming the 90 days horizon Sugar is expected to generate 2.13 times more return on investment than Rough Rice. However, Sugar is 2.13 times more volatile than Rough Rice Futures. It trades about 0.09 of its potential returns per unit of risk. Rough Rice Futures is currently generating about -0.02 per unit of risk. If you would invest  1,907  in Sugar on September 12, 2024 and sell it today you would earn a total of  200.00  from holding Sugar or generate 10.49% return on investment over 90 days.

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

Sugar  vs.  Rough Rice Futures

Sugar

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sugar are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unsteady basic indicators, Sugar may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Rough Rice Futures

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Sugar and Rough Rice

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

The idea behind Sugar and Rough Rice Futures 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.