Correlation Between GM and Columbia Seligman

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

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

Diversification Opportunities for GM and Columbia Seligman

0.11

Correlation Coefficient

GM  Columbia Seligman

Average diversification

The 3 months correlation between GM and Columbia is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Columbia Seligman Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Seligman Global 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 Columbia Seligman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Seligman Global has no effect on the direction of GM i.e., GM and Columbia Seligman go up and down completely randomly.

Pair Corralation between GM and Columbia Seligman

Allowing for the 90-day total investment horizon General Motors is expected to generate 1.54 times more return on investment than Columbia Seligman. However, GM is 1.54 times more volatile than Columbia Seligman Global. It trades about -0.03 of its potential returns per unit of risk. Columbia Seligman Global is currently generating about -0.08 per unit of risk. If you would invest  5,414  in General Motors on December 27, 2024 and sell it today you would lose (319.00) from holding General Motors or give up 5.89% 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.  Columbia Seligman Global

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.

Columbia Seligman Global

Risk-Adjusted Performance

Very Weak

Over the last 90 days Columbia Seligman Global has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with GM and Columbia Seligman

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

The idea behind General Motors and Columbia Seligman Global 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.