Correlation Between Palladium and Sugar

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Can any of the company-specific risk be diversified away by investing in both Palladium and Sugar 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 Sugar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Palladium and Sugar, you can compare the effects of market volatilities on Palladium and Sugar 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 Sugar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Palladium and Sugar.

Diversification Opportunities for Palladium and Sugar

0.16
  Correlation Coefficient

Average diversification

The 3 months correlation between Palladium and Sugar is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Palladium and Sugar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sugar 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 Sugar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sugar has no effect on the direction of Palladium i.e., Palladium and Sugar go up and down completely randomly.

Pair Corralation between Palladium and Sugar

Assuming the 90 days horizon Palladium is expected to under-perform the Sugar. In addition to that, Palladium is 1.29 times more volatile than Sugar. It trades about -0.06 of its total potential returns per unit of risk. Sugar is currently generating about -0.07 per unit of volatility. If you would invest  2,107  in Sugar on December 1, 2024 and sell it today you would lose (156.00) from holding Sugar or give up 7.4% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Palladium  vs.  Sugar

 Performance 
       Timeline  
Palladium 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Palladium has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Commodity's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Palladium shareholders.
Sugar 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Sugar has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Commodity's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for Sugar investors.

Palladium and Sugar Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Palladium and Sugar

The main advantage of trading using opposite Palladium and Sugar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palladium position performs unexpectedly, Sugar 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 Sugar will offset losses from the drop in Sugar's long position.
The idea behind Palladium and Sugar 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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