Correlation Between Automobile and Kyeryong Construction
Can any of the company-specific risk be diversified away by investing in both Automobile and Kyeryong Construction 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 Automobile and Kyeryong Construction into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automobile Pc and Kyeryong Construction Industrial, you can compare the effects of market volatilities on Automobile and Kyeryong Construction 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 Automobile with a short position of Kyeryong Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automobile and Kyeryong Construction.
Diversification Opportunities for Automobile and Kyeryong Construction
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Automobile and Kyeryong is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Automobile Pc and Kyeryong Construction Industri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyeryong Construction and Automobile 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 Automobile Pc are associated (or correlated) with Kyeryong Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyeryong Construction has no effect on the direction of Automobile i.e., Automobile and Kyeryong Construction go up and down completely randomly.
Pair Corralation between Automobile and Kyeryong Construction
Assuming the 90 days trading horizon Automobile Pc is expected to generate 2.62 times more return on investment than Kyeryong Construction. However, Automobile is 2.62 times more volatile than Kyeryong Construction Industrial. It trades about -0.03 of its potential returns per unit of risk. Kyeryong Construction Industrial is currently generating about -0.1 per unit of risk. If you would invest 69,900 in Automobile Pc on September 21, 2024 and sell it today you would lose (6,100) from holding Automobile Pc or give up 8.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automobile Pc vs. Kyeryong Construction Industri
Performance |
Timeline |
Automobile Pc |
Kyeryong Construction |
Automobile and Kyeryong Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automobile and Kyeryong Construction
The main advantage of trading using opposite Automobile and Kyeryong Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automobile position performs unexpectedly, Kyeryong Construction 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 Kyeryong Construction will offset losses from the drop in Kyeryong Construction's long position.Automobile vs. Daou Data Corp | Automobile vs. Solution Advanced Technology | Automobile vs. Busan Industrial Co | Automobile vs. Busan Ind |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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