Correlation Between Viettel Construction and Kien Giang
Can any of the company-specific risk be diversified away by investing in both Viettel Construction and Kien Giang 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 Viettel Construction and Kien Giang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Viettel Construction JSC and Kien Giang Construction, you can compare the effects of market volatilities on Viettel Construction and Kien Giang 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 Viettel Construction with a short position of Kien Giang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Viettel Construction and Kien Giang.
Diversification Opportunities for Viettel Construction and Kien Giang
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Viettel and Kien is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Viettel Construction JSC and Kien Giang Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kien Giang Construction and Viettel Construction 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 Viettel Construction JSC are associated (or correlated) with Kien Giang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kien Giang Construction has no effect on the direction of Viettel Construction i.e., Viettel Construction and Kien Giang go up and down completely randomly.
Pair Corralation between Viettel Construction and Kien Giang
Assuming the 90 days trading horizon Viettel Construction JSC is expected to generate 1.3 times more return on investment than Kien Giang. However, Viettel Construction is 1.3 times more volatile than Kien Giang Construction. It trades about 0.01 of its potential returns per unit of risk. Kien Giang Construction is currently generating about -0.09 per unit of risk. If you would invest 12,143,100 in Viettel Construction JSC on September 15, 2024 and sell it today you would lose (93,100) from holding Viettel Construction JSC or give up 0.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Viettel Construction JSC vs. Kien Giang Construction
Performance |
Timeline |
Viettel Construction JSC |
Kien Giang Construction |
Viettel Construction and Kien Giang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Viettel Construction and Kien Giang
The main advantage of trading using opposite Viettel Construction and Kien Giang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Viettel Construction position performs unexpectedly, Kien Giang 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 Kien Giang will offset losses from the drop in Kien Giang's long position.Viettel Construction vs. FIT INVEST JSC | Viettel Construction vs. Damsan JSC | Viettel Construction vs. An Phat Plastic | Viettel Construction vs. Alphanam ME |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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