Correlation Between GM and Long Bon
Can any of the company-specific risk be diversified away by investing in both GM and Long Bon 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 Long Bon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Long Bon International, you can compare the effects of market volatilities on GM and Long Bon 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 Long Bon. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Long Bon.
Diversification Opportunities for GM and Long Bon
Weak diversification
The 3 months correlation between GM and Long is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Long Bon International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Long Bon International 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 Long Bon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Long Bon International has no effect on the direction of GM i.e., GM and Long Bon go up and down completely randomly.
Pair Corralation between GM and Long Bon
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.22 times more return on investment than Long Bon. However, GM is 1.22 times more volatile than Long Bon International. It trades about 0.06 of its potential returns per unit of risk. Long Bon International is currently generating about 0.03 per unit of risk. If you would invest 3,263 in General Motors on September 17, 2024 and sell it today you would earn a total of 1,990 from holding General Motors or generate 60.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
General Motors vs. Long Bon International
Performance |
Timeline |
General Motors |
Long Bon International |
GM and Long Bon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Long Bon
The main advantage of trading using opposite GM and Long Bon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Long Bon 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 Long Bon will offset losses from the drop in Long Bon's long position.The idea behind General Motors and Long Bon International 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.Long Bon vs. Chong Hong Construction | Long Bon vs. Ruentex Development Co | Long Bon vs. Symtek Automation Asia | Long Bon vs. WiseChip Semiconductor |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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