Correlation Between GM and UFP Industries

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

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

Diversification Opportunities for GM and UFP Industries

0.52

Correlation Coefficient

GM  UFP Industries

Very weak diversification

The 3 months correlation between GM and UFP is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and UFP Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UFP Industries 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 UFP Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UFP Industries has no effect on the direction of GM i.e., GM and UFP Industries go up and down completely randomly.

Pair Corralation between GM and UFP Industries

Allowing for the 90-day total investment horizon General Motors is expected to generate 1.34 times more return on investment than UFP Industries. However, GM is 1.34 times more volatile than UFP Industries. It trades about -0.31 of its potential returns per unit of risk. UFP Industries is currently generating about -0.41 per unit of risk. If you would invest  6,006  in General Motors on September 24, 2024 and sell it today you would lose (825.00) from holding General Motors or give up 13.74% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	95.24%
Values	Daily Returns

General Motors  vs.  UFP Industries

General Motors

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

UFP Industries

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days UFP Industries has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, UFP Industries is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with GM and UFP Industries

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

The idea behind General Motors and UFP Industries 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.