Correlation Between GM and Heartland Value

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

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

Diversification Opportunities for GM and Heartland Value

0.1

Correlation Coefficient

GM  Heartland Value

Average diversification

The 3 months correlation between GM and Heartland is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Heartland Value Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heartland Value 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 Heartland Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heartland Value has no effect on the direction of GM i.e., GM and Heartland Value go up and down completely randomly.

Pair Corralation between GM and Heartland Value

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Heartland Value. In addition to that, GM is 2.42 times more volatile than Heartland Value Fund. It trades about -0.07 of its total potential returns per unit of risk. Heartland Value Fund is currently generating about -0.05 per unit of volatility. If you would invest  4,775  in Heartland Value Fund on December 27, 2024 and sell it today you would lose (179.00) from holding Heartland Value Fund or give up 3.75% of portfolio value over 90 days.

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

General Motors  vs.  Heartland Value Fund

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 latest weak performance, the Stock's primary indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.

Heartland Value

Risk-Adjusted Performance

Very Weak

Over the last 90 days Heartland Value Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Heartland Value is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with GM and Heartland Value

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

The idea behind General Motors and Heartland Value Fund 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.