Correlation Between U Ming and Pan Asia
Can any of the company-specific risk be diversified away by investing in both U Ming and Pan Asia 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 Pan Asia 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 Pan Asia Chemical, you can compare the effects of market volatilities on U Ming and Pan Asia 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 Pan Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Ming and Pan Asia.
Diversification Opportunities for U Ming and Pan Asia
Very good diversification
The 3 months correlation between 2606 and Pan is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding U Ming Marine Transport and Pan Asia Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pan Asia Chemical 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 Pan Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pan Asia Chemical has no effect on the direction of U Ming i.e., U Ming and Pan Asia go up and down completely randomly.
Pair Corralation between U Ming and Pan Asia
Assuming the 90 days trading horizon U Ming Marine Transport is expected to generate 3.08 times more return on investment than Pan Asia. However, U Ming is 3.08 times more volatile than Pan Asia Chemical. It trades about 0.09 of its potential returns per unit of risk. Pan Asia Chemical is currently generating about -0.11 per unit of risk. If you would invest 5,540 in U Ming Marine Transport on October 25, 2024 and sell it today you would earn a total of 210.00 from holding U Ming Marine Transport or generate 3.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
U Ming Marine Transport vs. Pan Asia Chemical
Performance |
Timeline |
U Ming Marine |
Pan Asia Chemical |
U Ming and Pan Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Ming and Pan Asia
The main advantage of trading using opposite U Ming and Pan Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Ming position performs unexpectedly, Pan Asia 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 Pan Asia will offset losses from the drop in Pan Asia's long position.U Ming vs. Sincere Navigation Corp | U Ming vs. Wan Hai Lines | U Ming vs. Yang Ming Marine | U Ming vs. Formosa Chemicals Fibre |
Pan Asia vs. Nan Ya Plastics | Pan Asia vs. China Petrochemical Development | Pan Asia vs. Eternal Materials Co | Pan Asia vs. TSRC Corp |
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.
Other Complementary Tools
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |