Correlation Between Ford and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Ford and Chung Hsin 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 Chung Hsin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Ford and Chung Hsin 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 Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Chung Hsin.
Diversification Opportunities for Ford and Chung Hsin
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Chung is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric 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 Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Ford i.e., Ford and Chung Hsin go up and down completely randomly.
Pair Corralation between Ford and Chung Hsin
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.12 times more return on investment than Chung Hsin. However, Ford is 1.12 times more volatile than Chung Hsin Electric Machinery. It trades about 0.06 of its potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about 0.0 per unit of risk. If you would invest 971.00 in Ford Motor on December 27, 2024 and sell it today you would earn a total of 58.00 from holding Ford Motor or generate 5.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.67% |
Values | Daily Returns |
Ford Motor vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Ford Motor |
Chung Hsin Electric |
Ford and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Chung Hsin
The main advantage of trading using opposite Ford and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Chung Hsin 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 Chung Hsin will offset losses from the drop in Chung Hsin's long position.The idea behind Ford Motor and Chung Hsin Electric Machinery 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.Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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