Correlation Between GM and OPC Energy
Can any of the company-specific risk be diversified away by investing in both GM and OPC Energy 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 OPC Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and OPC Energy, you can compare the effects of market volatilities on GM and OPC Energy 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 OPC Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and OPC Energy.
Diversification Opportunities for GM and OPC Energy
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and OPC is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and OPC Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OPC Energy 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 OPC Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OPC Energy has no effect on the direction of GM i.e., GM and OPC Energy go up and down completely randomly.
Pair Corralation between GM and OPC Energy
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.82 times more return on investment than OPC Energy. However, General Motors is 1.21 times less risky than OPC Energy. It trades about 0.07 of its potential returns per unit of risk. OPC Energy is currently generating about 0.03 per unit of risk. If you would invest 3,574 in General Motors on September 1, 2024 and sell it today you would earn a total of 1,985 from holding General Motors or generate 55.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 78.23% |
| Values | Daily Returns |
General Motors vs. OPC Energy
Performance |
| Timeline |
| General Motors |
| OPC Energy |
GM and OPC Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and OPC Energy
The main advantage of trading using opposite GM and OPC Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, OPC Energy 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 OPC Energy will offset losses from the drop in OPC Energy's long position.The idea behind General Motors and OPC Energy 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.| OPC Energy vs. Enlight Renewable Energy | OPC Energy vs. Energix Renewable Energies | OPC Energy vs. Alony Hetz Properties | OPC Energy vs. Ormat Technologies |
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 Stocks Directory module to find actively traded stocks across global markets.
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