Correlation Between GM and Nien Made
Can any of the company-specific risk be diversified away by investing in both GM and Nien Made 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 Nien Made into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nien Made Enterprise, you can compare the effects of market volatilities on GM and Nien Made 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 Nien Made. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nien Made.
Diversification Opportunities for GM and Nien Made
Pay attention - limited upside
The 3 months correlation between GM and Nien is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nien Made Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nien Made Enterprise 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 Nien Made. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nien Made Enterprise has no effect on the direction of GM i.e., GM and Nien Made go up and down completely randomly.
Pair Corralation between GM and Nien Made
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Nien Made. In addition to that, GM is 1.83 times more volatile than Nien Made Enterprise. It trades about -0.12 of its total potential returns per unit of risk. Nien Made Enterprise is currently generating about -0.17 per unit of volatility. If you would invest 41,950 in Nien Made Enterprise on September 20, 2024 and sell it today you would lose (2,350) from holding Nien Made Enterprise or give up 5.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 91.3% |
Values | Daily Returns |
General Motors vs. Nien Made Enterprise
Performance |
Timeline |
General Motors |
Nien Made Enterprise |
GM and Nien Made Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Nien Made
The main advantage of trading using opposite GM and Nien Made positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nien Made 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 Nien Made will offset losses from the drop in Nien Made's long position.The idea behind General Motors and Nien Made Enterprise 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.Nien Made vs. Ruentex Development Co | Nien Made vs. WiseChip Semiconductor | Nien Made vs. Novatek Microelectronics Corp | Nien Made vs. Leader Electronics |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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