Correlation Between GM and FIPP SA
Can any of the company-specific risk be diversified away by investing in both GM and FIPP 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 FIPP 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 FIPP SA, you can compare the effects of market volatilities on GM and FIPP 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 FIPP SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and FIPP SA.
Diversification Opportunities for GM and FIPP SA
Average diversification
The 3 months correlation between GM and FIPP is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and FIPP SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FIPP 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 FIPP SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FIPP SA has no effect on the direction of GM i.e., GM and FIPP SA go up and down completely randomly.
Pair Corralation between GM and FIPP SA
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the FIPP SA. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 3.19 times less risky than FIPP SA. The stock trades about -0.22 of its potential returns per unit of risk. The FIPP SA is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 14.00 in FIPP SA on September 26, 2024 and sell it today you would earn a total of 0.00 from holding FIPP SA or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. FIPP SA
Performance |
Timeline |
General Motors |
FIPP SA |
GM and FIPP SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and FIPP SA
The main advantage of trading using opposite GM and FIPP SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, FIPP 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 FIPP SA will offset losses from the drop in FIPP SA's long position.The idea behind General Motors and FIPP 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.FIPP SA vs. TotalEnergies SE | FIPP SA vs. LVMH Mot Hennessy | FIPP SA vs. Christian Dior SE | FIPP SA vs. BNP Paribas 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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