Correlation Between GM and Nestle SA
Can any of the company-specific risk be diversified away by investing in both GM and Nestle SA 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 Nestle SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nestle SA, you can compare the effects of market volatilities on GM and Nestle SA 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 Nestle SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nestle SA.
Diversification Opportunities for GM and Nestle SA
Pay attention - limited upside
The 3 months correlation between GM and Nestle is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nestle SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nestle SA 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 Nestle SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nestle SA has no effect on the direction of GM i.e., GM and Nestle SA go up and down completely randomly.
Pair Corralation between GM and Nestle SA
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.68 times more return on investment than Nestle SA. However, GM is 1.68 times more volatile than Nestle SA. It trades about 0.02 of its potential returns per unit of risk. Nestle SA is currently generating about -0.01 per unit of risk. If you would invest 3,923 in General Motors on January 25, 2024 and sell it today you would earn a total of 587.00 from holding General Motors or generate 14.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Nestle SA
Performance |
| Timeline |
| General Motors |
| Nestle SA |
GM and Nestle SA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Nestle SA
The main advantage of trading using opposite GM and Nestle SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nestle SA 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 Nestle SA will offset losses from the drop in Nestle SA's long position.The idea behind General Motors and Nestle SA 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.| Nestle SA vs. Kellanova | Nestle SA vs. Lancaster Colony | Nestle SA vs. The A2 Milk | Nestle SA vs. Artisan Consumer Goods |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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