Correlation Between Investment and Hochiminh City
Can any of the company-specific risk be diversified away by investing in both Investment 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 Investment and Hochiminh City into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Investment and Industrial and Hochiminh City Metal, you can compare the effects of market volatilities on Investment 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 Investment with a short position of Hochiminh City. Check out your portfolio center. Please also check ongoing floating volatility patterns of Investment and Hochiminh City.
Diversification Opportunities for Investment and Hochiminh City
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Investment and Hochiminh is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Investment and 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 Investment 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 Investment and 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 Investment i.e., Investment and Hochiminh City go up and down completely randomly.
Pair Corralation between Investment and Hochiminh City
Assuming the 90 days trading horizon Investment and Industrial is expected to generate 0.63 times more return on investment than Hochiminh City. However, Investment and Industrial is 1.59 times less risky than Hochiminh City. It trades about 0.14 of its potential returns per unit of risk. Hochiminh City Metal is currently generating about 0.05 per unit of risk. If you would invest 6,930,000 in Investment and Industrial on December 25, 2024 and sell it today you would earn a total of 880,000 from holding Investment and Industrial or generate 12.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.31% |
Values | Daily Returns |
Investment and Industrial vs. Hochiminh City Metal
Performance |
Timeline |
Investment and Industrial |
Hochiminh City Metal |
Investment and Hochiminh City Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Investment and Hochiminh City
The main advantage of trading using opposite Investment and Hochiminh City positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Investment 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.Investment vs. FPT Digital Retail | Investment vs. Vietnam National Reinsurance | Investment vs. Vu Dang Investment | Investment vs. Development Investment Construction |
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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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