Correlation Between Hochiminh City and South Books
Can any of the company-specific risk be diversified away by investing in both Hochiminh City and South Books 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 Hochiminh City and South Books into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hochiminh City Metal and South Books Educational, you can compare the effects of market volatilities on Hochiminh City and South Books 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 Hochiminh City with a short position of South Books. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hochiminh City and South Books.
Diversification Opportunities for Hochiminh City and South Books
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hochiminh and South is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Hochiminh City Metal and South Books Educational in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on South Books Educational and Hochiminh City 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 Hochiminh City Metal are associated (or correlated) with South Books. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of South Books Educational has no effect on the direction of Hochiminh City i.e., Hochiminh City and South Books go up and down completely randomly.
Pair Corralation between Hochiminh City and South Books
Assuming the 90 days trading horizon Hochiminh City is expected to generate 1.08 times less return on investment than South Books. But when comparing it to its historical volatility, Hochiminh City Metal is 1.11 times less risky than South Books. It trades about 0.07 of its potential returns per unit of risk. South Books Educational is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,258,919 in South Books Educational on December 23, 2024 and sell it today you would earn a total of 81,081 from holding South Books Educational or generate 6.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 71.67% |
Values | Daily Returns |
Hochiminh City Metal vs. South Books Educational
Performance |
Timeline |
Hochiminh City Metal |
South Books Educational |
Hochiminh City and South Books Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hochiminh City and South Books
The main advantage of trading using opposite Hochiminh City and South Books positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hochiminh City position performs unexpectedly, South Books 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 South Books will offset losses from the drop in South Books' long position.Hochiminh City vs. Innovative Technology Development | Hochiminh City vs. Petrolimex Insurance Corp | Hochiminh City vs. Petrovietnam Drilling Mud | Hochiminh City vs. Nam Kim Steel |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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