Correlation Between Travel Investment and Hanoi Beer
Can any of the company-specific risk be diversified away by investing in both Travel Investment and Hanoi Beer 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 Travel Investment and Hanoi Beer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Travel Investment and and Hanoi Beer Alcohol, you can compare the effects of market volatilities on Travel Investment and Hanoi Beer 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 Travel Investment with a short position of Hanoi Beer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Travel Investment and Hanoi Beer.
Diversification Opportunities for Travel Investment and Hanoi Beer
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Travel and Hanoi is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Travel Investment and and Hanoi Beer Alcohol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanoi Beer Alcohol and Travel 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 Travel Investment and are associated (or correlated) with Hanoi Beer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanoi Beer Alcohol has no effect on the direction of Travel Investment i.e., Travel Investment and Hanoi Beer go up and down completely randomly.
Pair Corralation between Travel Investment and Hanoi Beer
Assuming the 90 days trading horizon Travel Investment and is expected to under-perform the Hanoi Beer. In addition to that, Travel Investment is 1.26 times more volatile than Hanoi Beer Alcohol. It trades about -0.04 of its total potential returns per unit of risk. Hanoi Beer Alcohol is currently generating about -0.04 per unit of volatility. If you would invest 3,830,000 in Hanoi Beer Alcohol on October 23, 2024 and sell it today you would lose (180,000) from holding Hanoi Beer Alcohol or give up 4.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 78.43% |
Values | Daily Returns |
Travel Investment and vs. Hanoi Beer Alcohol
Performance |
Timeline |
Travel Investment |
Hanoi Beer Alcohol |
Travel Investment and Hanoi Beer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Travel Investment and Hanoi Beer
The main advantage of trading using opposite Travel Investment and Hanoi Beer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Travel Investment position performs unexpectedly, Hanoi Beer 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 Hanoi Beer will offset losses from the drop in Hanoi Beer's long position.Travel Investment vs. FIT INVEST JSC | Travel Investment vs. Damsan JSC | Travel Investment vs. An Phat Plastic | Travel Investment vs. APG Securities Joint |
Hanoi Beer vs. FIT INVEST JSC | Hanoi Beer vs. Damsan JSC | Hanoi Beer vs. An Phat Plastic | Hanoi Beer 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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