Correlation Between U Ming and Powertech Industrial
Can any of the company-specific risk be diversified away by investing in both U Ming and Powertech Industrial 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 U Ming and Powertech Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between U Ming Marine Transport and Powertech Industrial Co, you can compare the effects of market volatilities on U Ming and Powertech Industrial 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 U Ming with a short position of Powertech Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Ming and Powertech Industrial.
Diversification Opportunities for U Ming and Powertech Industrial
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 2606 and Powertech is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding U Ming Marine Transport and Powertech Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Powertech Industrial and U Ming 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 U Ming Marine Transport are associated (or correlated) with Powertech Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Powertech Industrial has no effect on the direction of U Ming i.e., U Ming and Powertech Industrial go up and down completely randomly.
Pair Corralation between U Ming and Powertech Industrial
Assuming the 90 days trading horizon U Ming Marine Transport is expected to under-perform the Powertech Industrial. But the stock apears to be less risky and, when comparing its historical volatility, U Ming Marine Transport is 2.03 times less risky than Powertech Industrial. The stock trades about -0.06 of its potential returns per unit of risk. The Powertech Industrial Co is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 2,700 in Powertech Industrial Co on September 12, 2024 and sell it today you would earn a total of 435.00 from holding Powertech Industrial Co or generate 16.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
U Ming Marine Transport vs. Powertech Industrial Co
Performance |
Timeline |
U Ming Marine |
Powertech Industrial |
U Ming and Powertech Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Ming and Powertech Industrial
The main advantage of trading using opposite U Ming and Powertech Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Ming position performs unexpectedly, Powertech Industrial 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 Powertech Industrial will offset losses from the drop in Powertech Industrial's long position.U Ming vs. Yang Ming Marine | U Ming vs. Wan Hai Lines | U Ming vs. Taiwan Navigation Co | U Ming vs. China Airlines |
Powertech Industrial vs. Yang Ming Marine | Powertech Industrial vs. Wan Hai Lines | Powertech Industrial vs. U Ming Marine Transport | Powertech Industrial vs. Taiwan Navigation 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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