Correlation Between GM and Columbia Funds
Can any of the company-specific risk be diversified away by investing in both GM and Columbia Funds 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 Funds 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 Funds Series, you can compare the effects of market volatilities on GM and Columbia Funds 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 Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Columbia Funds.
Diversification Opportunities for GM and Columbia Funds
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Columbia is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Columbia Funds Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Funds Series 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 Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Funds Series has no effect on the direction of GM i.e., GM and Columbia Funds go up and down completely randomly.
Pair Corralation between GM and Columbia Funds
Allowing for the 90-day total investment horizon GM is expected to generate 10.9 times less return on investment than Columbia Funds. But when comparing it to its historical volatility, General Motors is 13.03 times less risky than Columbia Funds. It trades about 0.06 of its potential returns per unit of risk. Columbia Funds Series is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 100.00 in Columbia Funds Series on November 3, 2024 and sell it today you would earn a total of 0.00 from holding Columbia Funds Series or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.6% |
Values | Daily Returns |
General Motors vs. Columbia Funds Series
Performance |
Timeline |
General Motors |
Columbia Funds Series |
GM and Columbia Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Columbia Funds
The main advantage of trading using opposite GM and Columbia Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Columbia Funds 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 Funds will offset losses from the drop in Columbia Funds' long position.The idea behind General Motors and Columbia Funds Series 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 Funds vs. Siit High Yield | Columbia Funds vs. Pace High Yield | Columbia Funds vs. One Choice Portfolio | Columbia Funds vs. Chartwell Short Duration |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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