Correlation Between GM and Capgemini
Can any of the company-specific risk be diversified away by investing in both GM and Capgemini 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 Capgemini into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Capgemini SE, you can compare the effects of market volatilities on GM and Capgemini 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 Capgemini. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Capgemini.
Diversification Opportunities for GM and Capgemini
Good diversification
The 3 months correlation between GM and Capgemini is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Capgemini SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capgemini SE 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 Capgemini. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capgemini SE has no effect on the direction of GM i.e., GM and Capgemini go up and down completely randomly.
Pair Corralation between GM and Capgemini
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Capgemini. In addition to that, GM is 1.24 times more volatile than Capgemini SE. It trades about -0.07 of its total potential returns per unit of risk. Capgemini SE is currently generating about -0.04 per unit of volatility. If you would invest 15,520 in Capgemini SE on December 28, 2024 and sell it today you would lose (990.00) from holding Capgemini SE or give up 6.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.31% |
Values | Daily Returns |
General Motors vs. Capgemini SE
Performance |
Timeline |
General Motors |
Capgemini SE |
GM and Capgemini Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Capgemini
The main advantage of trading using opposite GM and Capgemini positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Capgemini 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 Capgemini will offset losses from the drop in Capgemini's long position.The idea behind General Motors and Capgemini SE 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.Capgemini vs. Atos SE | Capgemini vs. Compagnie de Saint Gobain | Capgemini vs. Pernod Ricard SA | Capgemini vs. Bouygues SA |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |