Correlation Between Sebo Manufacturing and Hanyang ENG
Can any of the company-specific risk be diversified away by investing in both Sebo Manufacturing and Hanyang ENG 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 Sebo Manufacturing and Hanyang ENG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sebo Manufacturing Engineering and Hanyang ENG Co, you can compare the effects of market volatilities on Sebo Manufacturing and Hanyang ENG 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 Sebo Manufacturing with a short position of Hanyang ENG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sebo Manufacturing and Hanyang ENG.
Diversification Opportunities for Sebo Manufacturing and Hanyang ENG
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sebo and Hanyang is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Sebo Manufacturing Engineering and Hanyang ENG Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanyang ENG and Sebo Manufacturing 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 Sebo Manufacturing Engineering are associated (or correlated) with Hanyang ENG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanyang ENG has no effect on the direction of Sebo Manufacturing i.e., Sebo Manufacturing and Hanyang ENG go up and down completely randomly.
Pair Corralation between Sebo Manufacturing and Hanyang ENG
Assuming the 90 days trading horizon Sebo Manufacturing Engineering is expected to generate 1.25 times more return on investment than Hanyang ENG. However, Sebo Manufacturing is 1.25 times more volatile than Hanyang ENG Co. It trades about 0.04 of its potential returns per unit of risk. Hanyang ENG Co is currently generating about -0.13 per unit of risk. If you would invest 969,000 in Sebo Manufacturing Engineering on September 12, 2024 and sell it today you would earn a total of 34,000 from holding Sebo Manufacturing Engineering or generate 3.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sebo Manufacturing Engineering vs. Hanyang ENG Co
Performance |
Timeline |
Sebo Manufacturing |
Hanyang ENG |
Sebo Manufacturing and Hanyang ENG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sebo Manufacturing and Hanyang ENG
The main advantage of trading using opposite Sebo Manufacturing and Hanyang ENG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sebo Manufacturing position performs unexpectedly, Hanyang ENG 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 Hanyang ENG will offset losses from the drop in Hanyang ENG's long position.Sebo Manufacturing vs. Korea New Network | Sebo Manufacturing vs. Solution Advanced Technology | Sebo Manufacturing vs. Busan Industrial Co | Sebo Manufacturing 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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