Correlation Between Mekong Fisheries and Duong Hieu
Can any of the company-specific risk be diversified away by investing in both Mekong Fisheries and Duong Hieu 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 Mekong Fisheries and Duong Hieu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mekong Fisheries JSC and Duong Hieu Trading, you can compare the effects of market volatilities on Mekong Fisheries and Duong Hieu 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 Mekong Fisheries with a short position of Duong Hieu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mekong Fisheries and Duong Hieu.
Diversification Opportunities for Mekong Fisheries and Duong Hieu
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mekong and Duong is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Mekong Fisheries JSC and Duong Hieu Trading in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duong Hieu Trading and Mekong Fisheries 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 Mekong Fisheries JSC are associated (or correlated) with Duong Hieu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duong Hieu Trading has no effect on the direction of Mekong Fisheries i.e., Mekong Fisheries and Duong Hieu go up and down completely randomly.
Pair Corralation between Mekong Fisheries and Duong Hieu
Assuming the 90 days trading horizon Mekong Fisheries JSC is expected to under-perform the Duong Hieu. In addition to that, Mekong Fisheries is 1.02 times more volatile than Duong Hieu Trading. It trades about -0.06 of its total potential returns per unit of risk. Duong Hieu Trading is currently generating about -0.03 per unit of volatility. If you would invest 967,000 in Duong Hieu Trading on October 25, 2024 and sell it today you would lose (145,000) from holding Duong Hieu Trading or give up 14.99% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 98.82% |
| Values | Daily Returns |
Mekong Fisheries JSC vs. Duong Hieu Trading
Performance |
| Timeline |
| Mekong Fisheries JSC |
| Duong Hieu Trading |
Mekong Fisheries and Duong Hieu Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mekong Fisheries and Duong Hieu
The main advantage of trading using opposite Mekong Fisheries and Duong Hieu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mekong Fisheries position performs unexpectedly, Duong Hieu 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 Duong Hieu will offset losses from the drop in Duong Hieu's long position.| Mekong Fisheries vs. FIT INVEST JSC | Mekong Fisheries vs. Damsan JSC | Mekong Fisheries vs. An Phat Plastic | Mekong Fisheries vs. APG Securities Joint |
| Duong Hieu vs. FIT INVEST JSC | Duong Hieu vs. Damsan JSC | Duong Hieu vs. An Phat Plastic | Duong Hieu vs. APG Securities Joint |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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