Correlation Between GM and Big Tech

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

By analyzing existing cross correlation between General Motors and Big Tech 50, you can compare the effects of market volatilities on GM and Big Tech 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 Big Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Big Tech.

Diversification Opportunities for GM and Big Tech

0.39

Correlation Coefficient

GM  Big Tech

Weak diversification

The 3 months correlation between GM and Big is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Big Tech 50 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Tech 50 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 Big Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Tech 50 has no effect on the direction of GM i.e., GM and Big Tech go up and down completely randomly.

Pair Corralation between GM and Big Tech

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Big Tech. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.66 times less risky than Big Tech. The stock trades about -0.03 of its potential returns per unit of risk. The Big Tech 50 is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  12,700  in Big Tech 50 on December 26, 2024 and sell it today you would earn a total of  4,160  from holding Big Tech 50 or generate 32.76% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	81.97%
Values	Daily Returns

General Motors  vs.  Big Tech 50

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Big Tech 50

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Big Tech 50 are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Big Tech sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Big Tech

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

The idea behind General Motors and Big Tech 50 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.