Correlation Between Commodityrealreturn and Vanguard Commodity
Can any of the company-specific risk be diversified away by investing in both Commodityrealreturn and Vanguard Commodity 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 Commodityrealreturn and Vanguard Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodityrealreturn Strategy Fund and Vanguard Commodity Strategy, you can compare the effects of market volatilities on Commodityrealreturn and Vanguard Commodity 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 Commodityrealreturn with a short position of Vanguard Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodityrealreturn and Vanguard Commodity.
Diversification Opportunities for Commodityrealreturn and Vanguard Commodity
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Commodityrealreturn and Vanguard is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Commodityrealreturn Strategy F and Vanguard Commodity Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Commodity and Commodityrealreturn 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 Commodityrealreturn Strategy Fund are associated (or correlated) with Vanguard Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Commodity has no effect on the direction of Commodityrealreturn i.e., Commodityrealreturn and Vanguard Commodity go up and down completely randomly.
Pair Corralation between Commodityrealreturn and Vanguard Commodity
Assuming the 90 days horizon Commodityrealreturn is expected to generate 1.2 times less return on investment than Vanguard Commodity. In addition to that, Commodityrealreturn is 1.09 times more volatile than Vanguard Commodity Strategy. It trades about 0.06 of its total potential returns per unit of risk. Vanguard Commodity Strategy is currently generating about 0.08 per unit of volatility. If you would invest 2,495 in Vanguard Commodity Strategy on September 3, 2024 and sell it today you would earn a total of 96.00 from holding Vanguard Commodity Strategy or generate 3.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Commodityrealreturn Strategy F vs. Vanguard Commodity Strategy
Performance |
Timeline |
Commodityrealreturn |
Vanguard Commodity |
Commodityrealreturn and Vanguard Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodityrealreturn and Vanguard Commodity
The main advantage of trading using opposite Commodityrealreturn and Vanguard Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodityrealreturn position performs unexpectedly, Vanguard Commodity 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 Vanguard Commodity will offset losses from the drop in Vanguard Commodity's long position.The idea behind Commodityrealreturn Strategy Fund and Vanguard Commodity 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.
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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