Correlation Between Tin Nghia and Hochiminh City
Can any of the company-specific risk be diversified away by investing in both Tin Nghia and Hochiminh City 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 Tin Nghia and Hochiminh City into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tin Nghia Industrial and Hochiminh City Metal, you can compare the effects of market volatilities on Tin Nghia and Hochiminh City 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 Tin Nghia with a short position of Hochiminh City. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tin Nghia and Hochiminh City.
Diversification Opportunities for Tin Nghia and Hochiminh City
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tin and Hochiminh is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Tin Nghia Industrial and Hochiminh City Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochiminh City Metal and Tin Nghia 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 Tin Nghia Industrial are associated (or correlated) with Hochiminh City. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochiminh City Metal has no effect on the direction of Tin Nghia i.e., Tin Nghia and Hochiminh City go up and down completely randomly.
Pair Corralation between Tin Nghia and Hochiminh City
Assuming the 90 days trading horizon Tin Nghia is expected to generate 2.26 times less return on investment than Hochiminh City. But when comparing it to its historical volatility, Tin Nghia Industrial is 2.2 times less risky than Hochiminh City. It trades about 0.07 of its potential returns per unit of risk. Hochiminh City Metal is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,150,000 in Hochiminh City Metal on December 22, 2024 and sell it today you would earn a total of 100,000 from holding Hochiminh City Metal or generate 8.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Tin Nghia Industrial vs. Hochiminh City Metal
Performance |
Timeline |
Tin Nghia Industrial |
Hochiminh City Metal |
Tin Nghia and Hochiminh City Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tin Nghia and Hochiminh City
The main advantage of trading using opposite Tin Nghia and Hochiminh City positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tin Nghia position performs unexpectedly, Hochiminh City 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 Hochiminh City will offset losses from the drop in Hochiminh City's long position.Tin Nghia vs. Transimex Transportation JSC | Tin Nghia vs. Nam Kim Steel | Tin Nghia vs. Hochiminh City Metal | Tin Nghia vs. CEO Group JSC |
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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 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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