Correlation Between Daiyang Metal and Kumho Industrial
Can any of the company-specific risk be diversified away by investing in both Daiyang Metal and Kumho Industrial 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 Daiyang Metal and Kumho Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daiyang Metal Co and Kumho Industrial Co, you can compare the effects of market volatilities on Daiyang Metal and Kumho Industrial 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 Daiyang Metal with a short position of Kumho Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daiyang Metal and Kumho Industrial.
Diversification Opportunities for Daiyang Metal and Kumho Industrial
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Daiyang and Kumho is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Daiyang Metal Co and Kumho Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kumho Industrial and Daiyang Metal 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 Daiyang Metal Co are associated (or correlated) with Kumho Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kumho Industrial has no effect on the direction of Daiyang Metal i.e., Daiyang Metal and Kumho Industrial go up and down completely randomly.
Pair Corralation between Daiyang Metal and Kumho Industrial
Assuming the 90 days trading horizon Daiyang Metal Co is expected to under-perform the Kumho Industrial. But the stock apears to be less risky and, when comparing its historical volatility, Daiyang Metal Co is 1.33 times less risky than Kumho Industrial. The stock trades about -0.15 of its potential returns per unit of risk. The Kumho Industrial Co is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 271,500 in Kumho Industrial Co on December 25, 2024 and sell it today you would lose (8,000) from holding Kumho Industrial Co or give up 2.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daiyang Metal Co vs. Kumho Industrial Co
Performance |
Timeline |
Daiyang Metal |
Kumho Industrial |
Daiyang Metal and Kumho Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daiyang Metal and Kumho Industrial
The main advantage of trading using opposite Daiyang Metal and Kumho Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daiyang Metal position performs unexpectedly, Kumho Industrial 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 Kumho Industrial will offset losses from the drop in Kumho Industrial's long position.Daiyang Metal vs. Korea Air Svc | Daiyang Metal vs. Air Busan Co | Daiyang Metal vs. Echomarketing CoLtd | Daiyang Metal vs. Display Tech Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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