Correlation Between Ford and Man Wah
Can any of the company-specific risk be diversified away by investing in both Ford and Man Wah 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 Man Wah into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Man Wah Holdings, you can compare the effects of market volatilities on Ford and Man Wah 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 Man Wah. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Man Wah.
Diversification Opportunities for Ford and Man Wah
Pay attention - limited upside
The 3 months correlation between Ford and Man is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Man Wah Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Man Wah Holdings 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 Man Wah. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Man Wah Holdings has no effect on the direction of Ford i.e., Ford and Man Wah go up and down completely randomly.
Pair Corralation between Ford and Man Wah
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Man Wah. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 2.22 times less risky than Man Wah. The stock trades about -0.05 of its potential returns per unit of risk. The Man Wah Holdings is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Man Wah Holdings on September 27, 2024 and sell it today you would earn a total of 21.00 from holding Man Wah Holdings or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Ford Motor vs. Man Wah Holdings
Performance |
Timeline |
Ford Motor |
Man Wah Holdings |
Ford and Man Wah Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Man Wah
The main advantage of trading using opposite Ford and Man Wah positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Man Wah 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 Man Wah will offset losses from the drop in Man Wah's long position.The idea behind Ford Motor and Man Wah Holdings 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.Man Wah vs. Chiba Bank | Man Wah vs. Flowers Foods | Man Wah vs. TYSON FOODS A | Man Wah vs. PLANT VEDA FOODS |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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