Correlation Between GM and Dunham High

Can any of the company-specific risk be diversified away by investing in both GM and Dunham High 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 High 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 High Yield, you can compare the effects of market volatilities on GM and Dunham High 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 High. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dunham High.

Diversification Opportunities for GM and Dunham High

-0.55

Correlation Coefficient

GM  Dunham High

Excellent diversification

The 3 months correlation between GM and Dunham is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dunham High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham High Yield 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 High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham High Yield has no effect on the direction of GM i.e., GM and Dunham High go up and down completely randomly.

Pair Corralation between GM and Dunham High

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Dunham High. In addition to that, GM is 12.87 times more volatile than Dunham High Yield. It trades about -0.03 of its total potential returns per unit of risk. Dunham High Yield is currently generating about 0.07 per unit of volatility. If you would invest  868.00  in Dunham High Yield on December 27, 2024 and sell it today you would earn a total of  7.00  from holding Dunham High Yield or generate 0.81% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

General Motors  vs.  Dunham High Yield

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 High Yield

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Dunham High Yield are ranked lower than 5 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Dunham High 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 High

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

The idea behind General Motors and Dunham High Yield 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.