Correlation Between GM and Nongfu Spring
Can any of the company-specific risk be diversified away by investing in both GM and Nongfu Spring 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 Nongfu Spring into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nongfu Spring Co, you can compare the effects of market volatilities on GM and Nongfu Spring 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 Nongfu Spring. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nongfu Spring.
Diversification Opportunities for GM and Nongfu Spring
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and Nongfu is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nongfu Spring Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nongfu Spring 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 Nongfu Spring. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nongfu Spring has no effect on the direction of GM i.e., GM and Nongfu Spring go up and down completely randomly.
Pair Corralation between GM and Nongfu Spring
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Nongfu Spring. In addition to that, GM is 1.08 times more volatile than Nongfu Spring Co. It trades about 0.0 of its total potential returns per unit of risk. Nongfu Spring Co is currently generating about 0.15 per unit of volatility. If you would invest 389.00 in Nongfu Spring Co on September 24, 2024 and sell it today you would earn a total of 53.00 from holding Nongfu Spring Co or generate 13.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.67% |
Values | Daily Returns |
General Motors vs. Nongfu Spring Co
Performance |
Timeline |
General Motors |
Nongfu Spring |
GM and Nongfu Spring Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Nongfu Spring
The main advantage of trading using opposite GM and Nongfu Spring positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nongfu Spring 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 Nongfu Spring will offset losses from the drop in Nongfu Spring's long position.The idea behind General Motors and Nongfu Spring Co 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.Nongfu Spring vs. The Coca Cola | Nongfu Spring vs. PepsiCo | Nongfu Spring vs. Monster Beverage Corp | Nongfu Spring vs. Keurig Dr Pepper |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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