Correlation Between GM and Columbia Total
Can any of the company-specific risk be diversified away by investing in both GM and Columbia Total 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 Total 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 Total Return, you can compare the effects of market volatilities on GM and Columbia Total 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 Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Columbia Total.
Diversification Opportunities for GM and Columbia Total
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Columbia is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Columbia Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Total Return 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 Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Total Return has no effect on the direction of GM i.e., GM and Columbia Total go up and down completely randomly.
Pair Corralation between GM and Columbia Total
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Columbia Total. In addition to that, GM is 7.68 times more volatile than Columbia Total Return. It trades about -0.11 of its total potential returns per unit of risk. Columbia Total Return is currently generating about 0.16 per unit of volatility. If you would invest 2,073 in Columbia Total Return on September 17, 2024 and sell it today you would earn a total of 22.00 from holding Columbia Total Return or generate 1.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Columbia Total Return
Performance |
Timeline |
General Motors |
Columbia Total Return |
GM and Columbia Total Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Columbia Total
The main advantage of trading using opposite GM and Columbia Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Columbia Total 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 Total will offset losses from the drop in Columbia Total's long position.The idea behind General Motors and Columbia Total Return 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 Total vs. Vanguard Financials Index | Columbia Total vs. Transamerica Financial Life | Columbia Total vs. Fidelity Advisor Financial | Columbia Total vs. Icon Financial Fund |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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