Correlation Between GM and Hartford Emerging
Can any of the company-specific risk be diversified away by investing in both GM and Hartford Emerging 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 Hartford Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and The Hartford Emerging, you can compare the effects of market volatilities on GM and Hartford Emerging 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 Hartford Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Hartford Emerging.
Diversification Opportunities for GM and Hartford Emerging
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Hartford is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and The Hartford Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Emerging 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 Hartford Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Emerging has no effect on the direction of GM i.e., GM and Hartford Emerging go up and down completely randomly.
Pair Corralation between GM and Hartford Emerging
Allowing for the 90-day total investment horizon General Motors is expected to generate 4.92 times more return on investment than Hartford Emerging. However, GM is 4.92 times more volatile than The Hartford Emerging. It trades about 0.12 of its potential returns per unit of risk. The Hartford Emerging is currently generating about 0.0 per unit of risk. If you would invest 2,851 in General Motors on September 23, 2024 and sell it today you would earn a total of 2,330 from holding General Motors or generate 81.73% 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. The Hartford Emerging
Performance |
Timeline |
General Motors |
Hartford Emerging |
GM and Hartford Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Hartford Emerging
The main advantage of trading using opposite GM and Hartford Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Hartford Emerging 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 Hartford Emerging will offset losses from the drop in Hartford Emerging's long position.The idea behind General Motors and The Hartford Emerging 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.Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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