Correlation Between KCC Engineering and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both KCC Engineering and Daejung Chemicals 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 KCC Engineering and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KCC Engineering Construction and Daejung Chemicals Metals, you can compare the effects of market volatilities on KCC Engineering and Daejung Chemicals 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 KCC Engineering with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of KCC Engineering and Daejung Chemicals.
Diversification Opportunities for KCC Engineering and Daejung Chemicals
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between KCC and Daejung is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding KCC Engineering Construction and Daejung Chemicals Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daejung Chemicals Metals and KCC Engineering 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 KCC Engineering Construction are associated (or correlated) with Daejung Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daejung Chemicals Metals has no effect on the direction of KCC Engineering i.e., KCC Engineering and Daejung Chemicals go up and down completely randomly.
Pair Corralation between KCC Engineering and Daejung Chemicals
Assuming the 90 days trading horizon KCC Engineering Construction is expected to generate 0.73 times more return on investment than Daejung Chemicals. However, KCC Engineering Construction is 1.37 times less risky than Daejung Chemicals. It trades about -0.1 of its potential returns per unit of risk. Daejung Chemicals Metals is currently generating about -0.08 per unit of risk. If you would invest 442,000 in KCC Engineering Construction on September 17, 2024 and sell it today you would lose (35,000) from holding KCC Engineering Construction or give up 7.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
KCC Engineering Construction vs. Daejung Chemicals Metals
Performance |
Timeline |
KCC Engineering Cons |
Daejung Chemicals Metals |
KCC Engineering and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KCC Engineering and Daejung Chemicals
The main advantage of trading using opposite KCC Engineering and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KCC Engineering position performs unexpectedly, Daejung Chemicals 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 Daejung Chemicals will offset losses from the drop in Daejung Chemicals' long position.KCC Engineering vs. Korea New Network | KCC Engineering vs. Solution Advanced Technology | KCC Engineering vs. Busan Industrial Co | KCC Engineering vs. Busan Ind |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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