Correlation Between Palladium and Rough Rice

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

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

Diversification Opportunities for Palladium and Rough Rice

0.18

Correlation Coefficient

Palladium  Rough Rice

Average diversification

The 3 months correlation between Palladium and Rough is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Palladium 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 Palladium 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 Palladium 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 Palladium i.e., Palladium and Rough Rice go up and down completely randomly.

Pair Corralation between Palladium and Rough Rice

Assuming the 90 days horizon Palladium is expected to under-perform the Rough Rice. In addition to that, Palladium is 3.13 times more volatile than Rough Rice Futures. It trades about -0.03 of its total potential returns per unit of risk. Rough Rice Futures is currently generating about -0.01 per unit of volatility. If you would invest  1,525  in Rough Rice Futures on September 12, 2024 and sell it today you would lose (16.00) from holding Rough Rice Futures or give up 1.05% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

Palladium  vs.  Rough Rice Futures

Palladium

Risk-Adjusted Performance

0 of 100

Very Weak

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

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 Palladium and Rough Rice

The main advantage of trading using opposite Palladium and Rough Rice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palladium 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 Palladium 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.