Correlation Between GM and Silver Futures
Can any of the company-specific risk be diversified away by investing in both GM and Silver Futures 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 GM and Silver Futures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Silver Futures, you can compare the effects of market volatilities on GM and Silver Futures 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 GM with a short position of Silver Futures. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Silver Futures.
Diversification Opportunities for GM and Silver Futures
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and Silver is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Silver Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silver Futures and GM 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 General Motors are associated (or correlated) with Silver Futures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silver Futures has no effect on the direction of GM i.e., GM and Silver Futures go up and down completely randomly.
Pair Corralation between GM and Silver Futures
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.15 times more return on investment than Silver Futures. However, GM is 1.15 times more volatile than Silver Futures. It trades about 0.06 of its potential returns per unit of risk. Silver Futures is currently generating about 0.04 per unit of risk. If you would invest 3,726 in General Motors on August 28, 2024 and sell it today you would earn a total of 2,294 from holding General Motors or generate 61.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 97.44% |
| Values | Daily Returns |
General Motors vs. Silver Futures
Performance |
| Timeline |
| General Motors |
| Silver Futures |
GM and Silver Futures Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Silver Futures
The main advantage of trading using opposite GM and Silver Futures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Silver Futures 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 Silver Futures will offset losses from the drop in Silver Futures' long position.The idea behind General Motors and Silver 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.| Silver Futures vs. Five Year Treasury Note | Silver Futures vs. Lean Hogs Futures | Silver Futures vs. Heating Oil | Silver Futures vs. Cocoa |
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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