Correlation Between GM and Neo Neon
Can any of the company-specific risk be diversified away by investing in both GM and Neo Neon 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 Neo Neon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Neo Neon Holdings Limited, you can compare the effects of market volatilities on GM and Neo Neon 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 Neo Neon. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Neo Neon.
Diversification Opportunities for GM and Neo Neon
Significant diversification
The 3 months correlation between GM and Neo is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Neo Neon Holdings Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neo Neon Holdings 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 Neo Neon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neo Neon Holdings has no effect on the direction of GM i.e., GM and Neo Neon go up and down completely randomly.
Pair Corralation between GM and Neo Neon
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.99 times more return on investment than Neo Neon. However, General Motors is 1.01 times less risky than Neo Neon. It trades about 0.04 of its potential returns per unit of risk. Neo Neon Holdings Limited is currently generating about 0.03 per unit of risk. If you would invest 3,370 in General Motors on December 4, 2024 and sell it today you would earn a total of 1,368 from holding General Motors or generate 40.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.57% |
Values | Daily Returns |
General Motors vs. Neo Neon Holdings Limited
Performance |
Timeline |
General Motors |
Neo Neon Holdings |
GM and Neo Neon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Neo Neon
The main advantage of trading using opposite GM and Neo Neon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Neo Neon 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 Neo Neon will offset losses from the drop in Neo Neon's long position.The idea behind General Motors and Neo Neon Holdings Limited 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.Neo Neon vs. Connection Technology Systems | Neo Neon vs. Emerging Display Technologies | Neo Neon vs. Avalue Technology | Neo Neon vs. Castles Technology 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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