Correlation Between Ford and Yong Shun
Can any of the company-specific risk be diversified away by investing in both Ford and Yong Shun 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 Yong Shun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Yong Shun Chemical, you can compare the effects of market volatilities on Ford and Yong Shun 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 Yong Shun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Yong Shun.
Diversification Opportunities for Ford and Yong Shun
Very good diversification
The 3 months correlation between Ford and Yong is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Yong Shun Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yong Shun Chemical 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 Yong Shun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yong Shun Chemical has no effect on the direction of Ford i.e., Ford and Yong Shun go up and down completely randomly.
Pair Corralation between Ford and Yong Shun
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.26 times more return on investment than Yong Shun. However, Ford is 1.26 times more volatile than Yong Shun Chemical. It trades about -0.18 of its potential returns per unit of risk. Yong Shun Chemical is currently generating about -0.25 per unit of risk. If you would invest 1,123 in Ford Motor on September 12, 2024 and sell it today you would lose (67.00) from holding Ford Motor or give up 5.97% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
Ford Motor vs. Yong Shun Chemical
Performance |
| Timeline |
| Ford Motor |
| Yong Shun Chemical |
Ford and Yong Shun Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Yong Shun
The main advantage of trading using opposite Ford and Yong Shun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Yong Shun 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 Yong Shun will offset losses from the drop in Yong Shun's long position.The idea behind Ford Motor and Yong Shun Chemical 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.| Yong Shun vs. Tainan Spinning Co | Yong Shun vs. Lealea Enterprise Co | Yong Shun vs. China Petrochemical Development | Yong Shun vs. Ruentex Development Co |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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