Correlation Between GM and Fact

Can any of the company-specific risk be diversified away by investing in both GM and Fact 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 Fact into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between General Motors and Fact Inc, you can compare the effects of market volatilities on GM and Fact 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 Fact. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Fact.

Diversification Opportunities for GM and Fact

0.0

Correlation Coefficient

GM  Fact

Pay attention - limited upside

The 3 months correlation between GM and Fact is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Fact Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fact Inc 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 Fact. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fact Inc has no effect on the direction of GM i.e., GM and Fact go up and down completely randomly.

Pair Corralation between GM and Fact

If you would invest  0.01  in Fact Inc on September 25, 2024 and sell it today you would earn a total of  0.00  from holding Fact Inc or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

General Motors  vs.  Fact Inc

General Motors

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

Fact Inc

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Fact Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, Fact is not utilizing all of its potentials. The current stock price confusion, may contribute to short-horizon losses for the traders.

Pair Trading with GM and Fact

The main advantage of trading using opposite GM and Fact positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Fact 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 Fact will offset losses from the drop in Fact's long position.

The idea behind General Motors and Fact Inc 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.

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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.