Correlation Between Ford and U Ming
Can any of the company-specific risk be diversified away by investing in both Ford and U Ming 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 Ford and U Ming into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and U Ming Marine Transport, you can compare the effects of market volatilities on Ford and U Ming 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 Ford with a short position of U Ming. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and U Ming.
Diversification Opportunities for Ford and U Ming
Very weak diversification
The 3 months correlation between Ford and 2606 is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and U Ming Marine Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on U Ming Marine and Ford 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 Ford Motor are associated (or correlated) with U Ming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of U Ming Marine has no effect on the direction of Ford i.e., Ford and U Ming go up and down completely randomly.
Pair Corralation between Ford and U Ming
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the U Ming. In addition to that, Ford is 1.53 times more volatile than U Ming Marine Transport. It trades about 0.0 of its total potential returns per unit of risk. U Ming Marine Transport is currently generating about 0.13 per unit of volatility. If you would invest 5,160 in U Ming Marine Transport on September 13, 2024 and sell it today you would earn a total of 560.00 from holding U Ming Marine Transport or generate 10.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Ford Motor vs. U Ming Marine Transport
Performance |
Timeline |
Ford Motor |
U Ming Marine |
Ford and U Ming Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and U Ming
The main advantage of trading using opposite Ford and U Ming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, U Ming 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 U Ming will offset losses from the drop in U Ming's long position.The idea behind Ford Motor and U Ming Marine Transport 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.U Ming vs. Yang Ming Marine | U Ming vs. Wan Hai Lines | U Ming vs. Taiwan Navigation Co | U Ming vs. China Airlines |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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