Correlation Between Transport and Binh Duong
Can any of the company-specific risk be diversified away by investing in both Transport and Binh Duong 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 Transport and Binh Duong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Transport and Industry and Binh Duong Trade, you can compare the effects of market volatilities on Transport and Binh Duong 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 Transport with a short position of Binh Duong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Transport and Binh Duong.
Diversification Opportunities for Transport and Binh Duong
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Transport and Binh is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Transport and Industry and Binh Duong Trade in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Binh Duong Trade and Transport 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 Transport and Industry are associated (or correlated) with Binh Duong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Binh Duong Trade has no effect on the direction of Transport i.e., Transport and Binh Duong go up and down completely randomly.
Pair Corralation between Transport and Binh Duong
Assuming the 90 days trading horizon Transport and Industry is expected to under-perform the Binh Duong. In addition to that, Transport is 1.14 times more volatile than Binh Duong Trade. It trades about -0.2 of its total potential returns per unit of risk. Binh Duong Trade is currently generating about 0.06 per unit of volatility. If you would invest 1,065,000 in Binh Duong Trade on September 16, 2024 and sell it today you would earn a total of 55,000 from holding Binh Duong Trade or generate 5.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Transport and Industry vs. Binh Duong Trade
Performance |
Timeline |
Transport and Industry |
Binh Duong Trade |
Transport and Binh Duong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Transport and Binh Duong
The main advantage of trading using opposite Transport and Binh Duong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transport position performs unexpectedly, Binh Duong 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 Binh Duong will offset losses from the drop in Binh Duong's long position.Transport vs. Saigon Telecommunication Technologies | Transport vs. VTC Telecommunications JSC | Transport vs. Petrolimex Insurance Corp | Transport vs. PVI Reinsurance Corp |
Binh Duong vs. Hai An Transport | Binh Duong vs. Military Insurance Corp | Binh Duong vs. Transport and Industry | Binh Duong vs. Elcom Technology Communications |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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