Correlation Between GM and CK HUTCHISON
Can any of the company-specific risk be diversified away by investing in both GM and CK HUTCHISON 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 CK HUTCHISON into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and CK HUTCHISON HLDGS, you can compare the effects of market volatilities on GM and CK HUTCHISON 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 CK HUTCHISON. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and CK HUTCHISON.
Diversification Opportunities for GM and CK HUTCHISON
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and 2CKA is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and CK HUTCHISON HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CK HUTCHISON HLDGS 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 CK HUTCHISON. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CK HUTCHISON HLDGS has no effect on the direction of GM i.e., GM and CK HUTCHISON go up and down completely randomly.
Pair Corralation between GM and CK HUTCHISON
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.92 times more return on investment than CK HUTCHISON. However, General Motors is 1.08 times less risky than CK HUTCHISON. It trades about 0.05 of its potential returns per unit of risk. CK HUTCHISON HLDGS is currently generating about 0.01 per unit of risk. If you would invest 3,312 in General Motors on September 23, 2024 and sell it today you would earn a total of 1,869 from holding General Motors or generate 56.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.03% |
Values | Daily Returns |
General Motors vs. CK HUTCHISON HLDGS
Performance |
Timeline |
General Motors |
CK HUTCHISON HLDGS |
GM and CK HUTCHISON Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and CK HUTCHISON
The main advantage of trading using opposite GM and CK HUTCHISON positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, CK HUTCHISON 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 CK HUTCHISON will offset losses from the drop in CK HUTCHISON's long position.The idea behind General Motors and CK HUTCHISON HLDGS 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.CK HUTCHISON vs. Honeywell International | CK HUTCHISON vs. Mitsubishi | CK HUTCHISON vs. Hitachi | CK HUTCHISON vs. ITOCHU |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |