Correlation Between Ford and Qianhe CondimentFood
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By analyzing existing cross correlation between Ford Motor and Qianhe CondimentFood Co, you can compare the effects of market volatilities on Ford and Qianhe CondimentFood 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 Qianhe CondimentFood. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Qianhe CondimentFood.
Diversification Opportunities for Ford and Qianhe CondimentFood
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and Qianhe is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Qianhe CondimentFood Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qianhe CondimentFood 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 Qianhe CondimentFood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qianhe CondimentFood has no effect on the direction of Ford i.e., Ford and Qianhe CondimentFood go up and down completely randomly.
Pair Corralation between Ford and Qianhe CondimentFood
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Qianhe CondimentFood. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.37 times less risky than Qianhe CondimentFood. The stock trades about -0.35 of its potential returns per unit of risk. The Qianhe CondimentFood Co is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,224 in Qianhe CondimentFood Co on September 27, 2024 and sell it today you would earn a total of 57.00 from holding Qianhe CondimentFood Co or generate 4.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Ford Motor vs. Qianhe CondimentFood Co
Performance |
Timeline |
Ford Motor |
Qianhe CondimentFood |
Ford and Qianhe CondimentFood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Qianhe CondimentFood
The main advantage of trading using opposite Ford and Qianhe CondimentFood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Qianhe CondimentFood 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 Qianhe CondimentFood will offset losses from the drop in Qianhe CondimentFood's long position.The idea behind Ford Motor and Qianhe CondimentFood Co 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.Qianhe CondimentFood vs. Zijin Mining Group | Qianhe CondimentFood vs. Wanhua Chemical Group | Qianhe CondimentFood vs. Baoshan Iron Steel | Qianhe CondimentFood vs. Shandong Gold Mining |
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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