Correlation Between Ford and Shih Kuen
Can any of the company-specific risk be diversified away by investing in both Ford and Shih Kuen 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 Shih Kuen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Shih Kuen Plastics, you can compare the effects of market volatilities on Ford and Shih Kuen 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 Shih Kuen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Shih Kuen.
Diversification Opportunities for Ford and Shih Kuen
Average diversification
The 3 months correlation between Ford and Shih is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Shih Kuen Plastics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shih Kuen Plastics 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 Shih Kuen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shih Kuen Plastics has no effect on the direction of Ford i.e., Ford and Shih Kuen go up and down completely randomly.
Pair Corralation between Ford and Shih Kuen
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Shih Kuen. In addition to that, Ford is 1.22 times more volatile than Shih Kuen Plastics. It trades about 0.0 of its total potential returns per unit of risk. Shih Kuen Plastics is currently generating about 0.05 per unit of volatility. If you would invest 2,833 in Shih Kuen Plastics on October 3, 2024 and sell it today you would earn a total of 1,337 from holding Shih Kuen Plastics or generate 47.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.97% |
Values | Daily Returns |
Ford Motor vs. Shih Kuen Plastics
Performance |
Timeline |
Ford Motor |
Shih Kuen Plastics |
Ford and Shih Kuen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Shih Kuen
The main advantage of trading using opposite Ford and Shih Kuen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Shih Kuen 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 Shih Kuen will offset losses from the drop in Shih Kuen's long position.The idea behind Ford Motor and Shih Kuen Plastics 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.Shih Kuen vs. Cheng Shin Rubber | Shih Kuen vs. Nankang Rubber Tire | Shih Kuen vs. Ocean Plastics Co | Shih Kuen vs. Formosan Rubber Group |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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