Correlation Between Ford and China Food
Can any of the company-specific risk be diversified away by investing in both Ford and China Food 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 China Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and China Food and, you can compare the effects of market volatilities on Ford and China Food 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 China Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and China Food.
Diversification Opportunities for Ford and China Food
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ford and China is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and China Food and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Food 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 China Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Food has no effect on the direction of Ford i.e., Ford and China Food go up and down completely randomly.
Pair Corralation between Ford and China Food
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the China Food. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 2.8 times less risky than China Food. The stock trades about -0.22 of its potential returns per unit of risk. The China Food and is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1.74 in China Food and on October 8, 2024 and sell it today you would lose (0.04) from holding China Food and or give up 2.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. China Food and
Performance |
Timeline |
Ford Motor |
China Food |
Ford and China Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and China Food
The main advantage of trading using opposite Ford and China Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, China Food 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 China Food will offset losses from the drop in China Food's long position.The idea behind Ford Motor and China Food and 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.China Food vs. Huaizhong Health Group | China Food vs. Trimax Corp | China Food vs. Church Crawford | China Food vs. Greenlite Ventures |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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