Correlation Between Ford and Korea Steel
Can any of the company-specific risk be diversified away by investing in both Ford and Korea Steel 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 Korea Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Korea Steel Co, you can compare the effects of market volatilities on Ford and Korea Steel 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 Korea Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Korea Steel.
Diversification Opportunities for Ford and Korea Steel
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Korea is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Korea Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Steel 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 Korea Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Steel has no effect on the direction of Ford i.e., Ford and Korea Steel go up and down completely randomly.
Pair Corralation between Ford and Korea Steel
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.13 times more return on investment than Korea Steel. However, Ford is 1.13 times more volatile than Korea Steel Co. It trades about 0.03 of its potential returns per unit of risk. Korea Steel Co is currently generating about -0.05 per unit of risk. If you would invest 1,083 in Ford Motor on August 31, 2024 and sell it today you would earn a total of 27.00 from holding Ford Motor or generate 2.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.06% |
Values | Daily Returns |
Ford Motor vs. Korea Steel Co
Performance |
Timeline |
Ford Motor |
Korea Steel |
Ford and Korea Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Korea Steel
The main advantage of trading using opposite Ford and Korea Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Korea Steel 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 Korea Steel will offset losses from the drop in Korea Steel's long position.The idea behind Ford Motor and Korea Steel 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.Korea Steel vs. Dongbang Transport Logistics | Korea Steel vs. Sungmoon Electronics Co | Korea Steel vs. KyungIn Electronics Co | Korea Steel vs. Clean Science 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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