Correlation Between GM and Dunham Large

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

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

Diversification Opportunities for GM and Dunham Large

0.08

Correlation Coefficient

GM  Dunham Large

Significant diversification

The 3 months correlation between GM and Dunham is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dunham Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Large Cap 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 Dunham Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Large Cap has no effect on the direction of GM i.e., GM and Dunham Large go up and down completely randomly.

Pair Corralation between GM and Dunham Large

Allowing for the 90-day total investment horizon General Motors is expected to generate 2.53 times more return on investment than Dunham Large. However, GM is 2.53 times more volatile than Dunham Large Cap. It trades about -0.01 of its potential returns per unit of risk. Dunham Large Cap is currently generating about -0.06 per unit of risk. If you would invest  5,404  in General Motors on December 26, 2024 and sell it today you would lose (145.00) from holding General Motors or give up 2.68% 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.  Dunham Large Cap

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.

Dunham Large Cap

Risk-Adjusted Performance

Very Weak

Over the last 90 days Dunham Large Cap has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Dunham Large 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 Dunham Large

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

The idea behind General Motors and Dunham Large Cap 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.