Correlation Between Thong Nhat and Viet Thanh
Can any of the company-specific risk be diversified away by investing in both Thong Nhat and Viet Thanh 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 Thong Nhat and Viet Thanh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thong Nhat Rubber and Viet Thanh Plastic, you can compare the effects of market volatilities on Thong Nhat and Viet Thanh 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 Thong Nhat with a short position of Viet Thanh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thong Nhat and Viet Thanh.
Diversification Opportunities for Thong Nhat and Viet Thanh
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Thong and Viet is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Thong Nhat Rubber and Viet Thanh Plastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Viet Thanh Plastic and Thong Nhat 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 Thong Nhat Rubber are associated (or correlated) with Viet Thanh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Viet Thanh Plastic has no effect on the direction of Thong Nhat i.e., Thong Nhat and Viet Thanh go up and down completely randomly.
Pair Corralation between Thong Nhat and Viet Thanh
Assuming the 90 days trading horizon Thong Nhat Rubber is expected to under-perform the Viet Thanh. In addition to that, Thong Nhat is 1.73 times more volatile than Viet Thanh Plastic. It trades about -0.04 of its total potential returns per unit of risk. Viet Thanh Plastic is currently generating about 0.13 per unit of volatility. If you would invest 1,420,000 in Viet Thanh Plastic on September 2, 2024 and sell it today you would earn a total of 280,000 from holding Viet Thanh Plastic or generate 19.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 63.49% |
Values | Daily Returns |
Thong Nhat Rubber vs. Viet Thanh Plastic
Performance |
Timeline |
Thong Nhat Rubber |
Viet Thanh Plastic |
Thong Nhat and Viet Thanh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thong Nhat and Viet Thanh
The main advantage of trading using opposite Thong Nhat and Viet Thanh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thong Nhat position performs unexpectedly, Viet Thanh 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 Viet Thanh will offset losses from the drop in Viet Thanh's long position.Thong Nhat vs. BaoMinh Insurance Corp | Thong Nhat vs. Song Hong Aluminum | Thong Nhat vs. Hanoi Beer Alcohol | Thong Nhat vs. Southern Rubber Industry |
Viet Thanh vs. PVI Reinsurance Corp | Viet Thanh vs. Riverway Management JSC | Viet Thanh vs. CEO Group JSC | Viet Thanh vs. Ducgiang Chemicals Detergent |
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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