Correlation Between Dongnam Chemical and Kyung-In Synthetic
Can any of the company-specific risk be diversified away by investing in both Dongnam Chemical and Kyung-In Synthetic 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 Dongnam Chemical and Kyung-In Synthetic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongnam Chemical Co and Kyung In Synthetic Corp, you can compare the effects of market volatilities on Dongnam Chemical and Kyung-In Synthetic 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 Dongnam Chemical with a short position of Kyung-In Synthetic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongnam Chemical and Kyung-In Synthetic.
Diversification Opportunities for Dongnam Chemical and Kyung-In Synthetic
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dongnam and Kyung-In is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Dongnam Chemical Co and Kyung In Synthetic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung In Synthetic and Dongnam Chemical 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 Dongnam Chemical Co are associated (or correlated) with Kyung-In Synthetic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung In Synthetic has no effect on the direction of Dongnam Chemical i.e., Dongnam Chemical and Kyung-In Synthetic go up and down completely randomly.
Pair Corralation between Dongnam Chemical and Kyung-In Synthetic
Assuming the 90 days trading horizon Dongnam Chemical Co is expected to generate 0.93 times more return on investment than Kyung-In Synthetic. However, Dongnam Chemical Co is 1.08 times less risky than Kyung-In Synthetic. It trades about -0.04 of its potential returns per unit of risk. Kyung In Synthetic Corp is currently generating about -0.12 per unit of risk. If you would invest 3,285,811 in Dongnam Chemical Co on September 22, 2024 and sell it today you would lose (130,811) from holding Dongnam Chemical Co or give up 3.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dongnam Chemical Co vs. Kyung In Synthetic Corp
Performance |
Timeline |
Dongnam Chemical |
Kyung In Synthetic |
Dongnam Chemical and Kyung-In Synthetic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongnam Chemical and Kyung-In Synthetic
The main advantage of trading using opposite Dongnam Chemical and Kyung-In Synthetic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongnam Chemical position performs unexpectedly, Kyung-In Synthetic 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 Kyung-In Synthetic will offset losses from the drop in Kyung-In Synthetic's long position.Dongnam Chemical vs. Tway Air Co | Dongnam Chemical vs. Mirai Semiconductors Co | Dongnam Chemical vs. Samyang Foods Co | Dongnam Chemical vs. Lotte Chilsung Beverage |
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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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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