Correlation Between GM and Fintech Ecosystem
Can any of the company-specific risk be diversified away by investing in both GM and Fintech Ecosystem 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 Fintech Ecosystem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Fintech Ecosystem Development, you can compare the effects of market volatilities on GM and Fintech Ecosystem 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 Fintech Ecosystem. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Fintech Ecosystem.
Diversification Opportunities for GM and Fintech Ecosystem
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Fintech is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Fintech Ecosystem Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fintech Ecosystem 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 Fintech Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fintech Ecosystem has no effect on the direction of GM i.e., GM and Fintech Ecosystem go up and down completely randomly.
Pair Corralation between GM and Fintech Ecosystem
Allowing for the 90-day total investment horizon GM is expected to generate 237.57 times less return on investment than Fintech Ecosystem. But when comparing it to its historical volatility, General Motors is 93.19 times less risky than Fintech Ecosystem. It trades about 0.07 of its potential returns per unit of risk. Fintech Ecosystem Development is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 13.00 in Fintech Ecosystem Development on September 2, 2024 and sell it today you would lose (12.62) from holding Fintech Ecosystem Development or give up 97.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 38.71% |
Values | Daily Returns |
General Motors vs. Fintech Ecosystem Development
Performance |
Timeline |
General Motors |
Fintech Ecosystem |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and Fintech Ecosystem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Fintech Ecosystem
The main advantage of trading using opposite GM and Fintech Ecosystem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Fintech Ecosystem 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 Fintech Ecosystem will offset losses from the drop in Fintech Ecosystem's long position.The idea behind General Motors and Fintech Ecosystem Development 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.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 Stocks Directory module to find actively traded stocks across global markets.
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