Correlation Between GM and AppTech Payments
Can any of the company-specific risk be diversified away by investing in both GM and AppTech Payments 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 AppTech Payments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and AppTech Payments Corp, you can compare the effects of market volatilities on GM and AppTech Payments 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 AppTech Payments. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and AppTech Payments.
Diversification Opportunities for GM and AppTech Payments
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and AppTech is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and AppTech Payments Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AppTech Payments Corp 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 AppTech Payments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AppTech Payments Corp has no effect on the direction of GM i.e., GM and AppTech Payments go up and down completely randomly.
Pair Corralation between GM and AppTech Payments
Allowing for the 90-day total investment horizon GM is expected to generate 7.0 times less return on investment than AppTech Payments. But when comparing it to its historical volatility, General Motors is 7.82 times less risky than AppTech Payments. It trades about 0.07 of its potential returns per unit of risk. AppTech Payments Corp is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 22.00 in AppTech Payments Corp on August 28, 2024 and sell it today you would lose (2.00) from holding AppTech Payments Corp or give up 9.09% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 72.73% |
| Values | Daily Returns |
General Motors vs. AppTech Payments Corp
Performance |
| Timeline |
| General Motors |
| AppTech Payments Corp |
GM and AppTech Payments Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and AppTech Payments
The main advantage of trading using opposite GM and AppTech Payments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, AppTech Payments 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 AppTech Payments will offset losses from the drop in AppTech Payments' long position.The idea behind General Motors and AppTech Payments Corp 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.| AppTech Payments vs. GigaCloud Technology Class | AppTech Payments vs. Telos Corp | AppTech Payments vs. Cemtrex | AppTech Payments vs. authID Inc |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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