Correlation Between GM and Hartford Balanced
Can any of the company-specific risk be diversified away by investing in both GM and Hartford 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 Hartford 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 The Hartford Balanced, you can compare the effects of market volatilities on GM and Hartford 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 Hartford Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Hartford Balanced.
Diversification Opportunities for GM and Hartford Balanced
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Hartford is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and The Hartford Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford 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 Hartford Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Balanced has no effect on the direction of GM i.e., GM and Hartford Balanced go up and down completely randomly.
Pair Corralation between GM and Hartford Balanced
Allowing for the 90-day total investment horizon General Motors is expected to generate 6.35 times more return on investment than Hartford Balanced. However, GM is 6.35 times more volatile than The Hartford Balanced. It trades about 0.05 of its potential returns per unit of risk. The Hartford Balanced is currently generating about 0.1 per unit of risk. If you would invest 3,312 in General Motors on September 23, 2024 and sell it today you would earn a total of 1,869 from holding General Motors or generate 56.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. The Hartford Balanced
Performance |
Timeline |
General Motors |
Hartford Balanced |
GM and Hartford Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Hartford Balanced
The main advantage of trading using opposite GM and Hartford Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Hartford 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 Hartford Balanced will offset losses from the drop in Hartford Balanced's long position.The idea behind General Motors and The Hartford Balanced 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 Balanced vs. The Hartford Balanced | Hartford Balanced vs. Capital Income Builder | Hartford Balanced vs. Calvert Large Cap | Hartford Balanced vs. The Hartford Balanced |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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