Correlation Between UJU Electronics and Dongbang Transport
Can any of the company-specific risk be diversified away by investing in both UJU Electronics and Dongbang Transport 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 UJU Electronics and Dongbang Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UJU Electronics Co and Dongbang Transport Logistics, you can compare the effects of market volatilities on UJU Electronics and Dongbang Transport 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 UJU Electronics with a short position of Dongbang Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of UJU Electronics and Dongbang Transport.
Diversification Opportunities for UJU Electronics and Dongbang Transport
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between UJU and Dongbang is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding UJU Electronics Co and Dongbang Transport Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Transport and UJU Electronics 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 UJU Electronics Co are associated (or correlated) with Dongbang Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Transport has no effect on the direction of UJU Electronics i.e., UJU Electronics and Dongbang Transport go up and down completely randomly.
Pair Corralation between UJU Electronics and Dongbang Transport
Assuming the 90 days trading horizon UJU Electronics is expected to generate 1.11 times less return on investment than Dongbang Transport. But when comparing it to its historical volatility, UJU Electronics Co is 1.37 times less risky than Dongbang Transport. It trades about 0.02 of its potential returns per unit of risk. Dongbang Transport Logistics is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 216,000 in Dongbang Transport Logistics on September 30, 2024 and sell it today you would lose (2,500) from holding Dongbang Transport Logistics or give up 1.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
UJU Electronics Co vs. Dongbang Transport Logistics
Performance |
Timeline |
UJU Electronics |
Dongbang Transport |
UJU Electronics and Dongbang Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UJU Electronics and Dongbang Transport
The main advantage of trading using opposite UJU Electronics and Dongbang Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UJU Electronics position performs unexpectedly, Dongbang Transport 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 Dongbang Transport will offset losses from the drop in Dongbang Transport's long position.UJU Electronics vs. TK Chemical | UJU Electronics vs. LG Chemicals | UJU Electronics vs. Formetal Co | UJU Electronics vs. MetaLabs 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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