Correlation Between Platinum and Heating Oil
Can any of the company-specific risk be diversified away by investing in both Platinum and Heating Oil 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 Platinum and Heating Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Platinum and Heating Oil, you can compare the effects of market volatilities on Platinum and Heating Oil 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 Platinum with a short position of Heating Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Platinum and Heating Oil.
Diversification Opportunities for Platinum and Heating Oil
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Platinum and Heating is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Platinum and Heating Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heating Oil and Platinum 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 Platinum are associated (or correlated) with Heating Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heating Oil has no effect on the direction of Platinum i.e., Platinum and Heating Oil go up and down completely randomly.
Pair Corralation between Platinum and Heating Oil
Assuming the 90 days horizon Platinum is expected to generate 1.03 times more return on investment than Heating Oil. However, Platinum is 1.03 times more volatile than Heating Oil. It trades about 0.08 of its potential returns per unit of risk. Heating Oil is currently generating about -0.02 per unit of risk. If you would invest 91,980 in Platinum on December 30, 2024 and sell it today you would earn a total of 7,630 from holding Platinum or generate 8.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Platinum vs. Heating Oil
Performance |
Timeline |
Platinum |
Heating Oil |
Platinum and Heating Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Platinum and Heating Oil
The main advantage of trading using opposite Platinum and Heating Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Platinum position performs unexpectedly, Heating Oil 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 Heating Oil will offset losses from the drop in Heating Oil's long position.The idea behind Platinum and Heating Oil 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.Heating Oil vs. Cotton | Heating Oil vs. Palladium | Heating Oil vs. Brent Crude Oil | Heating Oil vs. Live Cattle Futures |
Check out your portfolio center.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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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