Correlation Between Dongbu Insurance and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both Dongbu Insurance 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 Dongbu Insurance and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbu Insurance Co and Daejung Chemicals Metals, you can compare the effects of market volatilities on Dongbu Insurance 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 Dongbu Insurance with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbu Insurance and Daejung Chemicals.
Diversification Opportunities for Dongbu Insurance and Daejung Chemicals
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongbu and Daejung is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Dongbu Insurance Co 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 Dongbu Insurance 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 Dongbu Insurance Co 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 Dongbu Insurance i.e., Dongbu Insurance and Daejung Chemicals go up and down completely randomly.
Pair Corralation between Dongbu Insurance and Daejung Chemicals
Assuming the 90 days trading horizon Dongbu Insurance Co is expected to generate 1.52 times more return on investment than Daejung Chemicals. However, Dongbu Insurance is 1.52 times more volatile than Daejung Chemicals Metals. It trades about -0.01 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 11,360,000 in Dongbu Insurance Co on September 17, 2024 and sell it today you would lose (490,000) from holding Dongbu Insurance Co or give up 4.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbu Insurance Co vs. Daejung Chemicals Metals
Performance |
Timeline |
Dongbu Insurance |
Daejung Chemicals Metals |
Dongbu Insurance and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbu Insurance and Daejung Chemicals
The main advantage of trading using opposite Dongbu Insurance and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbu Insurance 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.Dongbu Insurance vs. Samsung Electronics Co | Dongbu Insurance vs. Samsung Electronics Co | Dongbu Insurance vs. SK Hynix | Dongbu Insurance vs. POSCO Holdings |
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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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