Correlation Between GM and Columbia Balanced
Can any of the company-specific risk be diversified away by investing in both GM and Columbia Balanced 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 Balanced 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 Balanced Fund, you can compare the effects of market volatilities on GM and Columbia Balanced 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 Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Columbia Balanced.
Diversification Opportunities for GM and Columbia Balanced
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Columbia is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Columbia Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Balanced 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 Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Balanced has no effect on the direction of GM i.e., GM and Columbia Balanced go up and down completely randomly.
Pair Corralation between GM and Columbia Balanced
Allowing for the 90-day total investment horizon General Motors is expected to generate 5.41 times more return on investment than Columbia Balanced. However, GM is 5.41 times more volatile than Columbia Balanced Fund. It trades about 0.07 of its potential returns per unit of risk. Columbia Balanced Fund is currently generating about 0.1 per unit of risk. If you would invest 5,273 in General Motors on August 29, 2024 and sell it today you would earn a total of 206.00 from holding General Motors or generate 3.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Columbia Balanced Fund
Performance |
| Timeline |
| General Motors |
| Columbia Balanced |
GM and Columbia Balanced Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Columbia Balanced
The main advantage of trading using opposite GM and Columbia Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Columbia Balanced 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 Balanced will offset losses from the drop in Columbia Balanced's long position.The idea behind General Motors and Columbia Balanced 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.| Columbia Balanced vs. Columbia Mid Cap | Columbia Balanced vs. Columbia Small Cap | Columbia Balanced vs. Columbia Real Estate | Columbia Balanced vs. Aquagold International |
Check out your portfolio center.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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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