Correlation Between DB Insurance and Wooyang
Can any of the company-specific risk be diversified away by investing in both DB Insurance and Wooyang 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 DB Insurance and Wooyang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Insurance Co and Wooyang Co, you can compare the effects of market volatilities on DB Insurance and Wooyang 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 DB Insurance with a short position of Wooyang. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Insurance and Wooyang.
Diversification Opportunities for DB Insurance and Wooyang
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 005830 and Wooyang is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding DB Insurance Co and Wooyang Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wooyang and DB 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 DB Insurance Co are associated (or correlated) with Wooyang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wooyang has no effect on the direction of DB Insurance i.e., DB Insurance and Wooyang go up and down completely randomly.
Pair Corralation between DB Insurance and Wooyang
Assuming the 90 days trading horizon DB Insurance Co is expected to under-perform the Wooyang. But the stock apears to be less risky and, when comparing its historical volatility, DB Insurance Co is 3.29 times less risky than Wooyang. The stock trades about -0.01 of its potential returns per unit of risk. The Wooyang Co is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 300,000 in Wooyang Co on October 6, 2024 and sell it today you would earn a total of 24,000 from holding Wooyang Co or generate 8.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DB Insurance Co vs. Wooyang Co
Performance |
Timeline |
DB Insurance |
Wooyang |
DB Insurance and Wooyang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Insurance and Wooyang
The main advantage of trading using opposite DB Insurance and Wooyang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Insurance position performs unexpectedly, Wooyang 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 Wooyang will offset losses from the drop in Wooyang's long position.DB Insurance vs. Humasis Co | DB Insurance vs. JUSUNG ENGINEERING Co | DB Insurance vs. AfreecaTV Co | DB Insurance vs. CJ ENM |
Wooyang vs. DONGKUK TED METAL | Wooyang vs. Youngchang Chemical Co | Wooyang vs. Korea Shipbuilding Offshore | Wooyang vs. Hankukpackage Co |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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