Correlation Between GM and Chart Industries
Can any of the company-specific risk be diversified away by investing in both GM and Chart Industries 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 Chart Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Chart Industries, you can compare the effects of market volatilities on GM and Chart Industries 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 Chart Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Chart Industries.
Diversification Opportunities for GM and Chart Industries
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Chart is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Chart Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chart Industries 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 Chart Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chart Industries has no effect on the direction of GM i.e., GM and Chart Industries go up and down completely randomly.
Pair Corralation between GM and Chart Industries
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Chart Industries. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.16 times less risky than Chart Industries. The stock trades about -0.07 of its potential returns per unit of risk. The Chart Industries is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 19,225 in Chart Industries on December 1, 2024 and sell it today you would lose (170.00) from holding Chart Industries or give up 0.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Chart Industries
Performance |
Timeline |
General Motors |
Chart Industries |
GM and Chart Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Chart Industries
The main advantage of trading using opposite GM and Chart Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Chart Industries 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 Chart Industries will offset losses from the drop in Chart Industries' long position.The idea behind General Motors and Chart Industries 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.Chart Industries vs. Crane NXT Co | Chart Industries vs. Donaldson | Chart Industries vs. ITT Inc | Chart Industries vs. Franklin Electric Co |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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